Staff

Dr. Oliver Hooker

Director of course development UK

Works at: – PR statistics (Director)

Oliver obtained his PhD in ecology and evolutionary biology at the University of Glasgow (July 2012 – June 2016). His PhD research was in the area of ecologically driven evolution and speciation in postglacial fish, and how these processes complicate the application and planning of successful conservation strategies, especially in species that exhibit high levels of phenotypic structuring. Oliver thesis was very broad with chapters published on various topics ranging from morphology and physiology to legislation. Some of his work includes studying anthropogenic influences on phenotypic structuring within populations of Arctic charr (Salvelinus alpinus) as well as investigating the physiological mechanisms that may drive and/or maintain ecologically driven speciation. In particular Oliver is interested in furthering the understanding of how genetic isolation arises in sympatric polymorphic populations of Arctic charr and brown trout, (Salmo trutta).

Prior to his PhD Oliver attended the University of Hull from September 2009 – June 2012 where he achieved a first class degree (83% average) with honours in Marine and Freshwater Biology. He was awarded the departmental prize (for outstanding work) in both his second and third year. Oliver set up PR~statistics in April 2014 with the aim of providing specific training courses and workshops for people at varying stages of their academic career, delivered by experts in these fields.

PUBLICATIONS

8) Piggot, C. V. H., Verspoor, E., Greer, R., Hooker, O. E., Newton, J. & Adams, C. E. (2018) Phenotypic and resource use partitioning amongst sympatric lacustrine brown trout, Salmo trutta. Biological Journal of the Linnean Society. [DOI 10.1093/biolinnean/bly03]

Phenotypic and resource use portioning amongst lacustrine brown trout Salmo trutta.

7) Recknagel, H., Hooker, O. E., Adams, C. E. & Elmer, K. R. (2017) Ecosystem size predicts eco-morphological variability in a postglacial diversification. Ecology and Evolution. [DOI 10.1002/ece3.3013]

Ecosystem size predicts eco- morphological variability in a postglacial diversification.

6) Hooker, O. E., Van Leeuwen, T.E.  & Adams, C. E. (2017) Physiological costs of prey switching reinforce foraging specialisation. Journal of Animal Ecology. 86, 605-614, [DOI 10.1111/1365-2656.12632]

Physiological costs of prey switching reinforce foraging specialisation

5) Adams, C. E., Bean, C. W., Dodd, J. A., Down, A.,  Etheridge, E. C., Gowans, A R. D., Hooker, O. E.,  Knudsen, R.,  Lyle, A. A., Winfield, I. J. & Præbel, K. (2016) Inter and intra-population phenotypic and genotypic structuring in the European whitefish, Coregonus lavaretus, a rare freshwater fish in Scotland. Journal of Fish Biology, 88(2), 580-594. [DOI 10.1111/jfb.12855]

Inter and intra-population phenotypic and genotypic structuring in the European whitefish Coregonus lavaretus, a rare freshwater fish in Scotland

4) Hooker, O. E., Barry, J., Van Leeuwen, T., Lyle, A., Newton, J., Cunningham, P. & Adams, C. E. (2016) Morphological, ecological and behavioural differentiation of sympatric profundal and pelagic Arctic charr (Salvelinus alpinus) in Loch Dughaill Scotland. Hydrobiologia, 783(1), 209-221. [DOI 10.1007/s10750-015-2599-0]

Morphological, ecological and behavioural differentiation of sympatric profundal and pelagic Arctic charr (Salvelinus alpinus) in Loch Dughaill Scotland

3) Van Leeuwen, T., Hooker, O. E., Metcalfe, N. & Adams, C. E. (2015) Differences in diet-induced flexibility in morphology and growth in a partially migratory species. Canadian Journal of Fisheries and Aquatic Sciences. [DOI 10.1139/cjfas-2015-0300]

Differences in diet-induced flexibility in morphology and growth in a partially migratory species

2) Hooker, O.E., Maitland, P. S., Bean, C. W. & Adams, C. E. (2015) Effectiveness of Local Biodiversity Action Plans to Identify Locally Rare and Endangered Fish in Scotland. Scottish Geographical Journal 1-11. [DOI 10.1080/14702541.2015.1077267]

Effectiveness of Local Biodiversity Action Plans to Identify Locally Rare and Endangered Fish in Scotland

1) Barry, J., Newton, M., Dodd, J. A., Hooker, O. E., Boylan, P., Lucas, M. C. & Adams, C. E. (2015) Foraging specialisms influence space use and movement patterns of the European eel Anguilla Anguilla. Hydrobiologia 1-16. [DOI 10.1007/s10750-015-2466-z]

Foraging specialisms influence space use and movement patterns of the European eel Anguilla Anguilla

Dr. Kostas Kougioumoutzis

Director of course development Greece

Works at: – PR statistics (Director of course development in Greece)

Kostas is a post-doctoral researcher at the Department of Ecology and Systematics in the National and Kapodistrian University of Athens. He is a quantitative ecologist and plant taxonomist. His research interests span from investigating island and mountain biogeographical and biodiversity patterns to assessing the effects of climate and land-use change on plant species distribution, with an emphasis on range-restricted species. He is currently leading a research program dealing with the monitoring and conservation planning of the Greek endemic species facing extinction

You can view Kostas’s research via google scholar here

Dr. Madeliene Carruthers

Course coordinator UK

Bio to follow soon

Dr. Guillaume Blanchet

Course coordinator Canada

Works at – To follow
Teaches – To follow

To follow

Instructors

PR~statistics prides itself on the quality of its instructors. Experts in their field, many are involved in the development of new methods; author and contribute to ‘packages’ and have published scientific material in their field. Most importantly they are skilled and experienced in teaching and portraying the application of statistical theory and methods in a clear and easy to understand manner.

You can read about all of our course instructors below, listed alphabetically, click on the green toggle to find out where they work, which courses  they teach and about their research interests.

Prof. Dean Adams

Full Bio:

Works at – Professor of Ecology, Evolution, and Organismal Biology, and Professor of Statistics at Iowa State University, USA
Teaches – Geometric Morphometrics in R (GMMR)

Dean is a theoretical evolutionary biologist interested in the evolution of multivariate phenotypes. A primary emphasis of his laboratory focuses on new analytical tools for quantifying multivariate phenotypes (including morphometric shape analysis), as well as the development of new methods for characterizing patterns of phenotypic evolution and change. Current research is on the development of new phylogenetic comparative methods for multivariate datasets, and new morphometric methods for characterizing patterns of shape variation and covariation. Dean is the primary author and maintainer of the popular software R-package geomorph for shape analysis. His empirical work focuses on morphological evolution in vertebrates, with an emphasis on plethodontid salamanders.

Prof. Luca Borger

Full Bio:

Works at – Professor, University of Swansea, Wales.

Teaches – Animal movement ecology (ANME)

Full bio to follow soon

Prof. Jarret Byrnes

Full Bio:

Works at – Assistant Professor, University of Massachusetts, Boston, USA.
Teaches – Structural equation modelling for ecologists and evolutionary biologists (SEMR)

Jarrett Byrnes is an Assistant Professor at the University of Massachusetts Boston where he has taught for five years. His research focuses on the direct and indirect effects of the changing environment on marine communities. His current work focuses on kelp forests at local and global scales as well as New England sat marshes.  In this work, Byrnes utilizes a wide variety of statistical techniques for large-scale data sets, from Structural Equation Modelling to Bayesian meta-analysis.

Byrnes has been teaching Structural Equation Modelling since 2010. He has contributed to the development of the sem and lavaan packages in R for the modelling of SEMs using likelihood and covariance matrices. In addition to publishing on SEMs both in his own work and as a collaborator with students, students of Byrnes’s classes have published over a dozen different manuscripts which started as projects within the course.

Prof. Michael Collyer

Full Bio:

Works at – Associate Professor and Director, MS Biology, at Chatham University, Pittsburgh, PA, USA.
Teaches – Geometric Morphometrics using R (GMMR)

Michael is a theoretical evolutionary ecologist, specializing in statistical methods for high-dimensional data.  He received his PhD in Zoology from North Dakota State University and received additional postdoctoral experience in Ecology, Evolution, & Organismal Biology, and Statistics at Iowa State University.  His current research focuses on methodological development of hypothesis testing frameworks for multivariate data, using phylogenetic comparative methods.  He is a co-developer of the R package, geomorph, which has various routines for the acquisition, processing, and analysis of shape data and other multivariate data.  Michael’s theoretical work compliments his empirical focus, which is the contemporary morphological evolution of North American desert fishes in changing environments.

Prof. Matt Denwood

Full Bio:

Works at – Associate Professor at University of Copenhagen
Teaches – Applied Bayesian Modelling for Ecologists and Epidemiologists (ABME)

Matt qualified as a veterinary surgeon from the University of Glasgow, and subsequently focussed his post-graduate training in the area of quantitative veterinary epidemiology, obtaining his PhD in 2010. His research focus spans from statistical methodology through to the application of statistical and mathematical modelling to problems in epidemiology and ecology, working on a wide variety of problems in various different fields.

Much of his work was revolved around the use of Bayesian methods, particularly Markov chain Monte Carlo, applied to parasitology and antimicrobial resistance. He is the author of two R packages hosted on CRAN, including the ‘runjags’ package which serves as an interface to ‘Just Another Gibbs Sampler (JAGS)’, and is also a developer and currently builds and maintains the Mac binaries on the JAGS project.

Matt is also a fellow of the higher education academy with a wide range of teaching experience in epidemiology, biostatistics, public health and clinical farm animal medicine at both undergraduate and postgraduate level, he enjoys the challenge of describing complex statistical methods in a way that is accessible to ecologists and epidemiologists with a background in clinical or biological sciences.

Prof. Rodney Dyer

Full Bio:

Works at – Assistant Director for the Centre for Environmental Studies, Virginia Commonwealth University
Teaches – Landscape (population) genetic data analysis using R (LNDG)

Matt qualified as a veterinary surgeon from the University of Glasgow, and subsequently focussed his post-graduate training in the area of quantitative veterinary epidemiology, obtaining his PhD in 2010. His research focus spans from statistical methodology through to the application of statistical and mathematical modelling to problems in epidemiology and ecology, working on a wide variety of problems in various different fields.

Much of his work was revolved around the use of Bayesian methods, particularly Markov chain Monte Carlo, applied to parasitology and antimicrobial resistance. He is the author of two R packages hosted on CRAN, including the ‘runjags’ package which serves as an interface to ‘Just Another Gibbs Sampler (JAGS)’, and is also a developer and currently builds and maintains the Mac binaries on the JAGS project.

Matt is also a fellow of the higher education academy with a wide range of teaching experience in epidemiology, biostatistics, public health and clinical farm animal medicine at both undergraduate and postgraduate level, he enjoys the challenge of describing complex statistical methods in a way that is accessible to ecologists and epidemiologists with a background in clinical or biological sciences.

Prof. Jane Elith

Full Bio:

Works at – School of botany, University of Melbourne, Australia
Teaches – Species distribution modelling using R (SDMR0)

Jane Elith is an ecolgist in the School of Botany at the University of Melbourne. She graduated from the School of Agriculture and Forestry at the University of Melbourne in 1977. She specialises in ecological models that focus on spatial analysis and prediction of the habitat of plant and animal species. Following graduation, she was a research assistant and tutor for three years, and then spent the following 12 years raising her children. She returned to the University of Melbourne in 1992 and later commenced a part-time PhD in the School of Botany. She was awarded her PhD in 2002 on ‘Predicting the distribution of plants’. Since then, she has been a research fellow in the School of Botany. She is currently an ARC Future Fellow and sits within the Centre of Excellence for Biosecurity Risk Analysis at the University of Melbourne.

Jane is known primarily for her work on statistical models and data, and has mostly focused on species distribution models. Jane is interested in the methods used to model the distribution of species, and focuses on how they work, how to improve them for typical data types and applications, and how to deal with their uncertainties. She is particularly interested in understanding how models work and in finding technical solutions to improve their performance. She is also interested in and contributes to their use for practical applications.

Prof. Julia Koricheva

Full Bio:

Works at – Royal Holloway University of London
Teaches – Meta-analysis in ecology, evolution and environmental sciences (MTES)

Julia is an ecologist interested in plant-herbivore interactions, forest biodiversity and methodology and applications of meta-analysis in ecology. She has published over 20 meta-analyses on topics ranging from impacts of climate change to forest management as well as methodological papers on publication bias and related biases in meta-analysis. She has also co-edited “Handbook of meta-analysis in ecology and evolution” (Princeton University Press, 2013), the first handbook on meta-analysis written specially for ecologists and evolutionary biologists. Julia has been teaching courses on meta-analysis in ecology to early career researchers since early 2000s both in the UK and abroad (Finland, Sweden, Germany, Switzerland, Poland, Portugal, USA, Australia, Mexico, Brazil, Kenya). Julia is an elected member of the Society for Research Synthesis Methodology and an author of ca 100 peer-reviewed scientific publications with > 5000 citations, her H index is 40.

Prof. Elena Kulinskaya

Full Bio:

Works at – University of East Anglia (UEA), England
Teaches – Meta-analysis in ecology, evolution and environmental sciences (MTES)

Elena is a statistician with strong research interests in meta-analysis and research synthesis, statistical methods for Big Data, and wide experience of statistical consulting in health, actuarial, environmental sciences and industry. She is an elected member of the International Statistical Institute and of the Society for Research Synthesis Methodology; Editorial Board member for academic journals Environmental Evidence and Research Synthesis Methods, and the organiser of Quantitative Synthesis Methods Group in the Collaboration for Environmental Evidence (CEE). She has authored a book on meta-analysis (Wiley, 2008) and more than 100 peer-reviewed scientific publications with ca 3100 citations, h index = 29.

Prof. Pierre Legendre

Full Bio:

Works at – Professor of quantitative ecology at Université de Montréal, Canada
Teaches – Advances in Spatial Analysis of Multivariate Ecological Data: Theory and in Practice (MVSP)

Pierre Legendre is an ecologist interested in the spatial and temporal structure of communities (beta diversity). He has been teaching biostatistics and numerical ecology at Université de Montréal for more than 30 years. He is the author of the highly cited manual “Numerical ecology”; the third English edition appeared in June 2012. He is also the author of more than 290 refereed research papers and book chapters.

Numerical ecology is the field of quantitative ecology devoted to the numerical analysis of ecological data sets. Community ecologists, whose data are multivariate by nature (many species, many environmental variables), are the primary users of these methods.

Besides his regular teaching at Université de Montréal, Pierre Legendre has given 66 short courses in 38 universities and scientific institutes around the world. He received several honours, including the President’s Award of the Canadian Society for Ecology and Evolution in 2013. He was listed as a Highly Cited Researcher in Environment/Ecology in all lists published up to now by the Institute of Scientific Information (ISI) and Thomson Reuters in 2001, 2014 and 2015. His h-index on Google Scholar is 83 (57648 citations, including 14324 citations of his books). He is also the author of programs and R packages widely used by community ecologists and phylogeneticists, and coauthor (with D. Borcard and F. Gillet) of the book “Numerical ecology with R” (English edition published in 2011, Chinese edition in 2014).

Prof. Subhash Lele

Full Bio:

Works at – Professor of statistics, Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Canada
Teaches – Multivariate analysis of spatial ecological data using R (MASE)

Subhash Lele is a professor of statistics at the University of Alberta in Canada. His research interests are wide ranging from theoretical statistics (e.g. Estimating functions, Time series and Spatial processes, Foundations of statistical inference, Hierarchical models) to applied statistics (e.g. Morphometrics or analysis of shapes, Occupancy and Abundance models, Habitat suitability and Resource Selection models, Movement models, Population dynamics models, population viability analysis and sampling designs for animal surveys). He is currently involved in developing statistical methods for data obtained from camera traps for monitoring space use by wildlife.

Subhash Lele has been working in statistics for almost 30 years. He has published more than 80 papers in major journals including ‘Science’ and ‘Nature’. He has co-authored a book on Morphometrics, co-edited a book on the topic of quantification of statistical evidence and is currently working on a book on Likelihood analysis of Hierarchical models with applications in ecology. He has been on the editorial board of the Journal of the American Statistical Association, Ecology and Ecological Monographs, Ecological and Environmental Statistics, Journal of Wildlife Management and Journal of Animal Ecology. He has also served on various committees of the US National Academy of Sciences.

Prof. David Warton

Full Bio:

Works at – Professor in Ecological Statistics at University of New South Wales
Teaches – Model-based multivariate analysis of abundance data using R (MBMV)

David is an ecological statistician who advances methodology for data analysis in ecology to improve the ability of ecologists to answer important research questions with a focus on developing and translating modern statistical approaches to important ecological problems.

His cross-disciplinary research involves evaluating the methods for data analysis currently used in ecology, and where necessary, developing new methodologies to assist ecologists answer key research questions. This has led to contributions to current practice in ecology in multivariate analysis, allometric line-fitting and the analysis of presence-only data.

Prof. Rory Wilson

Full Bio:

Works at – Professor, University of Swansea, Wales
Teaches – Animal movement ecology (ANME)

Professor Rory P. Wilson is based at Swansea University. His first degree, in zoology, was from Oxford University, after which he went on to do his PhD at Cape Town University on the foraging ecology of the African penguin. Rory has lived and worked in Canada, France, Germany and Sweden but he now works within the Swansea Lab for Animal Movement in the department of Biosciences. Rory specializes in developing and using animal-attached technology to answer questions about animal movement ecology. He has used this approach on fish, reptiles, mammals and birds, where his major thrust has been to examine the energetics of movement in an effort to understand how that modulates behaviour and space use. Rory has worked across the world, including in Antarctica, and is currently working on a framework that attempts to predict animal movement. Rory is a Rolex Awards for Enterprise Laureate, a Fellow of the Learned Society of Wales and has been named by the BBC as one of their top 50 conservation heroes. He has published >300 peer-reviewed studies and is an Editor in Chief for Marine Ecology Progress Series and a consulting editor for Polar Biology and Endangered Species Research.

Prof. Ziheng Yang

Full Bio:

Works at – Professor at University College London (Department of Genetics, Evolution and Environment)
Teaches – Advances in DNA Taxonomy (DNTX)

Ziheng Yang holds the RA Fisher Chair of Statistical Genetics at Department of Genetics, Evolution, and Environment, University College London. He develops statistical methods and writes computer programs for phylogenetic and population genetics analyses of sequence data.

His current research projects include estimation of species divergence times incorporating information from molecules and fossils, Bayesian phylogeographic analysis and species tree estimation under the multispecies coalescent model, and modelling protein evolution to understand the impact of selection. He is a Fellow of the Royal Society of London. He has won a few awards and published about 200 papers and 2 books. His recent book, Molecular Evolution: A Statistical Approach, has a pretty lizard on the cover.

Dr. Francesco de Bello

Full Bio:

Works at – University of South Bohemia, Czech Republic
Teaches – Functional ecology from organism to ecosystem: theory and computation (FEER)

Dr. Francesco de Bello is an Assistant Professor at the University of South Bohemia, Czech Republic. Together with various colleagues he regularly organizes international courses on functional ecology and has developed several widely-used tools to compute indices of functional diversity and community trait composition. He has published ~90 papers on functional traits. He is trained as a plant ecologist and agronomist. Using meadows and alpine vegetation as a study framework, he assesses the role of functional trait diversity on the interface between community assembly and ecosystem service delivery across different organism types.

Dr. Luc Bussière

Full Bio:

Works at – Lecturer at the University of Stirling
Teaches – Advancing in Statistical Modelling Using R (ADVR) & Introduction to Statistics and R for Biologists (IRFB)

Luc’s research involves estimating fitness landscapes to test hypotheses about how historical selection has favoured diversification, especially for expensive phenotypic traits such as sexually selected ornaments. Because selection operates on many traits simultaneously, and because phenotypic traits often covary, determining which traits affect fitness is quite challenging, especially when using observational datasets from studies of wild populations. Consequently, Luc has had to learn a number of advanced inferential techniques.

Knowing the importance of mastering these methods, Luc has developed new graduate and undergraduate courses in statistics. These have provided students with valuable analytical skills for both data-rich biological research and industry. His course focus on the practical needs of modern ecologists and evolutionary biologists, and exploit his experience as a scientist, supervisor, editor and teacher.

Dr. Carlos Carmona

Full Bio:

Works at – Institute of Ecology and Earth Sciences, University of Tartu
Teaches – Functional ecology from organism to ecosystem: theory and computation (FEER)

Dr. Carlos P. Carmona is a researcher at the Institute of Ecology and Earth Sciences, University of Tartu. His research focuses on plant functional trait-based ecology, including developing and applying methods to incorporate intraspecific trait variability into estimations of functional diversity. He uses functional trait-based approaches to answer pressing ecological questions, such as the response and vulnerability of plant communities and their functioning to species losses. In the last years, he has taught several statistics courses using R, generally aimed at PhD students and researchers. He has experience in R programming including development of packages.

Dr. Matt Fitzpatrick

Full Bio:

Works at – University of Maryland Centre for Environmental Science
Teaches – Quantitative geographic ecology using R: modelling genomes, niches, and communities (QGER01)

Matt Fitzpatrick is Associate Professor at the University of Maryland Center for Environmental Science where he leads the Global Change & Biodiversity lab. He is a quantitative global change ecologist interested in the development and application of spatial modeling methods for analyzing how climate drives ecological patterns and processes, with an emphasis on understanding the distribution of species, patterns of biodiversity, and range expansion of native and introduced organisms. His research spans terrestrial and aquatic systems and scales of biological organization from genes within genomes to species assemblages across the globe. He is a co-developer of the ‘gdm’ R package for fitting Generalized Dissimilarity Models.

Dr. Diego Fontaneto

Full Bio:

Works at Institute of Ecosystem Study, National Research Council, Verbania Pallanza, Italy
Teaches – Advances in DNA Taxonomy (DNTX)

Diego Fontaneto is a zoologist and an ecologist interested in biological diversity in general, and in particular in how bdelloid rotifers can survive, persist and diversify in the apparent absence of sexual recombination. Given the ubiquity of bdelloids in any habitat, from freshwater to marine, to their unusual ecological characteristics of desiccation resistance, and to their ‘scandalous’ evolutionary features of being considered ancient asexuals, his work is often at the boundary between ecology and evolution. He has been exposed to the different tolls and techniques in DNA taxonomy in the last ten years as an alternative to morphological species identification due to the paucity of taxonomically reliable phenotypic features in bdelloid rotifers.

Dr. Olivier Gauthier

Full Bio:

Works at Maitre de conférences, Institut Universitaire Européen de la Mer, Université de Bretagne Occidentale, Brest, France.
Teaches – Advances in Spatial Analysis of Multivariate Ecological Data: Theory and Practice (MVSP)

Olivier is an associate professor in biology at Université de Bretagne Occidentale. He is a quantitative ecologist interested in describing and explaining spatial and temporal community diversity patterns and in the numerical tools needed to so. He primarily works with marine benthic ecologists. His research aims to better understand how local, regional and habitat-dependant variables can constraint taxonomic and functional diversity of marine macrobenthos. He teaches biostatistics and numerical ecology and regularly gives international short courses on the analysis of biological diversity data.

Dr. Lars Goetzenberger

Full Bio:

Works at – The Institute of Botany of the Czech academy of sciences
Teaches – Functional ecology from organism to ecosystem: theory and computation (FEER)

Dr. Lars Götzenberger is a researcher at the Institute of Botany of the Czech academy of sciences. His main interest is in the ecological strategies of vascular plants, trying to understand through which traits these different strategies manifest, how they evolve, and how they are connected to the co-existence of species in communities at different scales. He has taught courses on functional ecology and R-related topics in various forms. Though a plant ecologist by training, his main skills and guilty pleasures include programming in the R language and the use of trait data bases.

Dr. Gurutzeta Guillera

Full Bio:

 

Works at – Lecturer in Ecological Modelling at the University of Melbourne
Teaches – Species distribution modelling using R (SDMR)

Broadly, Guruzeta work in the development and application of quantitative tools to answer questions in ecology and conservation. In particular, her research largely deals with wildlife monitoring, the modelling of species distributions and optimal study design, with an emphasis on issues derived from imperfect detection. She is a Senior Editor for Animal Conservation and Associated Editor for the Journal of Agricultural, Biological and Environmental Statistics. Previously, I was in the editorial board of Conservation Biology (2013-2016),

Dr. Tom Houslay

Full Bio:

Works at – Associate research fellow at the University of Exeter
Teaches Advancing in Statistical Modelling Using R (ADVR)

Tom’s research interests revolve around explaining individual variation: how do genetic, environmental and social factors interact and contribute to phenotypic diversity?

His PhD research at the University of Stirling integrated life history theory and sexual selection, using advanced statistical models to analyse how individuals allocate limited resources to competing life history traits. Tom’s current research position at the University of Exeter’s Penryn campus focuses on the evolutionary genetics of the stress response, combining experimental manipulations with multivariate quantitative genetic methods.

Tom also has a background in computer programming and bioinformatics, and has employed these skills in posts across both academia and the pharmaceutical industry. He has a broad interest in statistical modelling, and also in the best practices of effective and informative visualisation of quantitative data.

Dr. Andrew Jackson

Full Bio:

Works at – Associate Professor at Trinity College Dublin
Teaches – Stable Isotope Mixing Models using SIAR, SIBER and MixSIAR (SIMM)

Andrew graduated with a science degree in zoology before completing a phd in theoretical ecology and has moved ever further in computational and mathematical ecology over the 9 years since. Andrew’s expertise is in building custom computational and statistical models to better understand the behaviour of ecological and evolutionary systems. As a biologist by training, Andrew is particularly sensitive to the challenge many people face with learning quantitative techniques on top of their already large biological skill-set.

Andrew currently leads a research programme looking at how the rate at which visual information can be acquired and processed varies among individuals and species and he also continues to lead computational methodological developments in stable isotope ecology. He collaborates widely with other scientists working on topics such as: ecological stability, adaptive systems in computer science, epidemiology and sea-bird foraging ecology.

Dr. Jana Jeglinski

Full Bio:

Works at Research Leadership Fellow at the University of Glasgow
Teaches Spatial Analysis of Ecological Data Using R (SPAE)

Jana is a research fellow and lecturer within the Institute of Biodiversity Animal Health and Comparative Medicine at the University of Glasgow. Her research is in the area of spatial and foraging ecology of marine top predators. Her work focuses on sea birds and pinnipeds and has published numerous manuscripts on Galapagos sea lions. Jana uses various methods to gather quantitative data, such as GPS tracking and stable isotope analysis, to gain a better understanding of ecology with particular emphasis on juvenile/adolescent life stages utilising a strong spatial component. The aim of her research is to develop an understanding of how foraging and breeding habitat preferences of individuals influence population-level processes that are relevant for conservation management.

Dr. Thibaut Jombart

Full Bio:

Works at – Lecturer at Imperial College London
Teaches – Genetic data analysis and exploration using R (GDAR)

Thibaut is a Lecturer in genetic analysis at the MRC Centre for Outbreak Analysis and Modelling, Imperial College London. His early career focussed on developing multivariate methods for analysing genetic data, including spatial genetic patterns, group structure, and the phylogenetic comparative method. His current work aims to exploit pathogen genome sequences to understand the spatial-temporal dynamics of infectious diseases such as influenza, plague, or the ongoing West African Ebola outbreak. He is involved in the development of a number of R packages including adegenet, adephylo, geoGraph, outbreaker, OutbreakTools, bmmix, episerve (author) and ade4, and phylobase (contributor).

Dr. Antigoni Kaliontzopoulou

Full Bio:

Works at – Assistant Researcher in CIBIO, Research Center for Biodiversity and Genetic Resources
Teaches – Geometric Morphometrics in R (GMMR)

Antigoni is an evolutionary ecologist interested in the evolution of phenotypic diversity. Her research focuses on disentangling the ecological and evolutionary dynamics underlying phenotypic diversification. She uses wall lizards, and other reptiles and amphibians, as models to address how sexual dimorphism evolves; how ontogeny shapes morphological variation; what determines the geographic structure of phenotypic patterns; which is the influence of environmental variation on the phenotype; and how the combination of these processes shapes micro- and macro-evolutionary diversity patterns.

As a biologist focused in measuring and explaining patters of phenotypic diversity, Antigoni is also interested in the development and dissemination of quantitative methods for addressing ecological and evolutionary questions. For this, she has been involved in developing and teaching workshops and courses in multivariate statistics, geometric morphometrics, and phylogenetic comparative methods.

Dr. Zhian Kamvar

Full Bio:

Works at – University of Nebraska-Lincoln
Teaches  Genetic data analysis and exploration using R (GDAR)

Zhian Kamvar is a Postdoctoral Research Scholar at the University of Nebraska-Lincoln investigating the evolution of fungicide resistance in a plant pathogenic fungus. His doctoral work centres around developing tools for analysis of clonal populations in the R package ‘poppr’. He has contributed to other popgen packages such as adegenet, mmod, and vcfR.

Dr. Ane Timenes Laugen

Full Bio:

Works at – Senior researcher at Åbo Akademi University in Finland
Teaches  Introduction to Statistics and R for Biologists (IRFB)

Ane’s research interests focus on quantifying spatial and temporal variation in evolutionary and ecological processes, including prevalence and consequences of harvest-induced evolution, speed and consequences of species invasions in coastal ecosystems, and effects of climate-related environmental change in ectotherms. In her quest to answer research questions from this wide range of topics she uses both basic and advanced linear models in R to analyse and visualize data from factorial experiments, quantitative genetic breeding designs, field surveys, and time series. She has occasionally played with Bayesian approaches and her bucket list contains the item “go all-Bayesian before retirement”.

Dr. Jonathan Lefcheck

Full Bio:

Works at –  Virginia Institute of Marine Science, The College of William & Mary, Gloucester Point, Virginia. B.A., USA
Teaches –  Structural equation modelling for ecologists and evolutionary biologists (SEMR)

Jonathan Lefcheck is a post-doctoral scholar at the Virginia Institute of Marine Science, The College of William & Mary in Virginia. His research interests range from marine community ecology to biodiversity science to ecological statistics, with a focus on seagrass systems. He runs a popular blog for statistical advice, www.jonlefcheck.net/blog, where he interacts with researchers and practitioners over statistical methods, including multivariate community analysis, generalized additive models, and machine learning.

Jonathan has been applying structural equation modelling to ecological data for the better part of a decade, and has published the results in high-ranking journals such as Proceedings of the National Academy of Sciences, Ecology Letters, and Ecology. His recent paper in Methods in Ecology & Evolution presenting a new open-source package to conduct structural equation modelling in R was recently selected as a runner-up for the Robert May prize by the British Ecological Society, which recognizes outstanding contributions by early career researchers.

Dr. Jose Lahoz-Monfort

Full Bio:

Works at – Lecturer in Ecological Modelling in the Quantitative and Applied Ecology Group (QAECO) at the University  of Melbourne
Teaches – Species distribution modelling using R (SDMR).

Jose has a general interest in wildlife monitoring techniques, demography and population dynamics, the study of species distributions, and the statistical methods that underpin these areas. But of course, always keeping in mind the ultimate step: how these feed into the decision-making process for biodiversity conservation and management so that the allocation of the often scarce conservation resources can be optimized. Pressing conservation problems have to be solved in an efficient way, making the best decisions in the light of available knowledge, and cleverly choosing what new information can be useful for achieving our targets!

Dr. Jeroen Minderman

Full Bio:

Works at – The biological and environmental sciences department at the University of Stirling
Teaches – Introduction to Statistics and R for Biologists (IRFB)

Jeroen’s main interests are in behavioural ecology and conservation biology, and ornithology in particular. Specifically, he is interested in understanding and predicting behavioural responses to environmental change (anthropogenic or otherwise) in a range of species and systems.

His current fellowship at the University of St Andrews focuses on linking behavioural responses to different stressors or risks, to physiological stress responses, and previous post docs have been as diverse as quantifying the effects of wind turbines on birds and bats, and developing models for prioritising conservation investments.

All of Jeroen’s work has a strong quantitative basis, and he is particularly interested in the presentation of statistical analyses (including mixed-effects modelling, IT approaches, Bayesian statistics and simulation modelling) as used in biology.

Dr Aristides (Aris) Moustakas

Full Bio:

Works at – Senior Assistant Professor at the Institute for Applied Data Analytics, Universiti Brunei Darussalam, in Brunei, Borneo.

Teaches – Machine Learning (MACH01)

Before Borneo, Aris was a Lecturer in Predictive Modelling at the School of Biological and Chemical Sciences, Queen Mary University of London, UK. Aris is an Engineer by training with a Diploma in Industrial Engineering and Management (Crete, Greece) and a PhD in Mathematical Ecology from Friedrich-Schiller University in Jena, Germany.

He has interdisciplinary skills in Statistics and Computer Science and broad research interests in Data Analytics, Predictive Modelling, Mathematical Biology, Risk Assessment, Ecology, Population Dynamics, and Epidemiology, through statistical analysis or computational model development. His published track record includes several mathematical, environmental, and biological journal publications as well as interdisciplinary ones including Nature Communications.

His research regarding Bovine Tuberculosis in the UK was widely covered by the media including the BBC and The Guardian twice and it has also been covered in German and French national media. He is has recently served as a guest editor for two journal special issues in Spatio-temporal data mining in veterinary and ecological epidemiology and in Data mining invasive alien species dynamics.

Dr Andrew Parnell

Full Bio:

Works at – Chartered statistician at University College Dublin
Teaches – Stable Isotope Mixing Models Using SIAR, SIBER and MixSIAR (SIMM) – Time Series Models for Ecologists and Climatologists (TSME) – Introduction to Bayesian hierarchical modelling (IBHM)

Andrew is a chartered statistician and lecturer with over 10 years’ experience. He enjoys working with big, messy data sets which have hidden relationships that only statistical methods can uncover. Andrews main expertise is in – Feature/variable selection; Multivariate analysis; Stochastic processes and time series analysis; Bayesian inference; Spatial and spatio-temporal modelling; Computational statistics.

He has applied such methods in a diverse range of fields including Climate change (estimating past changes in climate from pollen, estimating changes in extreme for Ireland’s future, estimating worldwide rates of sea level change); Proteomics (finding biomarkers for prostate cancer; Veterinary Science (estimating the factors contributing to elite racehorse ability); Archaeology (radiocarbon dating and age-depth model building); Ecology (stable isotope mixing models to estimate animal diets, monitoring fisheries discard rates in the Irish Sea).

Dr. Emmanuel Paradis

Full Bio:

Works at – Institute of Evolutionary Sciences in Montpellier
Teaches – Phylogenetic data analysis using R (PHYL)

Emmanuel is as senior researcher at the Institute of Evolutionary Sciences in Montpellier. His research activities are centered on the investigation of evolutionary processes at different scales of time and of biological complexity. His approach is to collect data and analyse them to test hypotheses on the dynamics of these relationships. His current projects are on the speciation, extinction, and adaptation among Felidae, and on the statistical and computing tools for models of biological evolution.

Dr. Jonathan Potts

Full Bio:

Works at – Lecturer in the School of Mathematics and Statistics at the University of Sheffield

Teaches – Animal movement ecology (ANME)

Jonathan did his PhD at Bristol University (2010-2012), working on understanding how territorial structures form from the movement and interaction of animals, with a particular focus on Bristol’s red fox population.  He then went to the University of Alberta as a postdoctoral fellow in Mark Lewis’ group (2012-14). Here, he continued working on mathematical models of animal movement and pattern formation, extending them to a variety of situations beyond territoriality, including landscape ecology and biological invasions.  During this time, he increasingly found that the need to fit complex mechanistic models required development of new statistical tools for analysing animal movement.  Consequently, when he was appointed a lecturer in the School of Mathematics and Statistics at the University of Sheffield in 2014, he was placed in both the Statistics and Applied Mathematics groups.  His research group at Sheffield continues this diversity: working on mathematical models of animal movement and population dynamics using a mixture of techniques from statistics, applied maths, and statistical physics.  These techniques have been applied to help understand a range of ecological situations, from wolf-caribou interactions to Galapagos tortoise migrations, territory formation of multispecies bird flocks to resources selection decisions of bison.

Dr. Marco Scotti

Full Bio:

Works at – PI of the Research Group on Food Web Modelling at GEOMAR Helmholtz Centre for Ocean Research Kiel, Germany
Teaches – Network analysis for ecologists and biologists using R (NTWA)

Webpage http://www.geomar.de/en/mitarbeiter/fb3/eoe/eoe-n/mscotti/food-web-modelling/

Marco is a theoretical ecologist who got his PhD at the University of Parma. Besides studying ecological networks, he has experience in analysing a wide spectrum of complex systems including social, infrastructural and molecular networks. Marco is mainly interested in food web theory and ecological network analysis. He studies topological and dynamical properties of trophic networks, being often involved even in the phases of experimental data generation and collection. His current playground is represented by the western coast of the Baltic Sea and the mesocosm facilities at GEOMAR. Marco’s research aims at investigating the effects of global change on food web structure and dynamics, with the goal of better understanding possible consequences on ecosystem functioning.

Dr. Neftalí Sillero

Full Bio:

Works at CICGE- Research Center on Geo-Spatial Science of the University of Porto
Teaches – Ecological niche modelling using R (ENMR)

Neftalí Sillero works in the analysis and identification of biodiversity spatial patterns, from species to populations and individuals. For this, he uses four powerful tools to better understand how space influence biodiversity: Geographical Information Systems, Remote Sensing, Ecological Niche Modelling, and Spatial Statistics. His main areas of research are: application of new technologies on species’ distributions atlases, ecological modelling of species’ ranges, identification of biogeographical regions and species’ chorotypes, mapping and modelling road-kill hotspots, and spatial analyses of home ranges.

He has more than 10 years’ experience working in ecological niche models. He has authored >70 peer reviewed publications and he is since 2007 Chairman of the Mapping Committee of the Societas Herpetologica Europaea, where he is the PI of the NA2RE project (www.na2re.ismai.pt), the New Atlas of Amphibians and Reptiles of Europe.

Dr. Péter Sólymos

Full Bio:

Works at – Statistical Ecologist at the Alberta Biodiversity Monitoring Institute and Boreal Avian Modelling Project
Teaches – Spatial analysis of multivariate ecological data using R (MASE)

Dr. Péter Sólymos is a statistical ecologist with a research focus on developing and applying state-of-the-art computational techniques for big data sets to better inform biodiversity conservation and natural resource management over large spatial scales.

Péter is interested in understanding how cumulative effects of human development affect species. He is developing new algorithms and methodologies for more efficient data-information-knowledge pipelines. In addition, Péter has over 10 years of teaching experience in ecology and R programming, he has authored over 50 peer reviewed publications and many R packages among them mefa4, dclone, pbapply, and vegan.

Dr. Dan Warren

Full Bio:

Works at – Senckenberg Biodiversity and Climate Research Center
Teaches – Quantitative geographic ecology using R: modelling genomes, niches, and communities (QGER01)

Dan Warren is a senior scientist at the Senckenberg Biodiversity and Climate Research Center.  He has broad interests in evolution, ecology, conservation, and animal behavior.  His primary research program focuses on the evolution of species’ environmental tolerances and spatial distributions, with frequent detours into conservation-oriented empirical studies.  He also maintains active research programs in phylogenetic methods and theory, as well as the neuroecology of marine fishes.  His work includes both basic and applied research, with a particular focus on developing quantitative methods.  He is an author of several popular software packages for conducting evolutionary and ecological analyses, including Converge, AWTY, ENMTools, and RWTY.  

Miss Emma Howard

Full Bio:

Works at – PhD student in data analytics and mathematics at University College Dublin
Teaches – Time series models for ecologists (TSME)

Emma Howard is a PhD student in the interdisciplinary fields of mathematics education and data analytics. The overall focus of her PhD is identifying and supporting struggling students in large mathematics/statistics courses. Her approach includes investigating predication methods to identify at-risk students, developing an understanding of why students choose to engage with specific module resources, and developing supporting feedback systems for students. She is also interested in student withdrawals on a university-wide level.

Mr. John O’Sullivan

Full Bio:

Works at – PhD student in Statistical Climatology at the University College of Dublin
Teaches – Time series models for ecologists (TSME)

John O’Sullivan is a PhD student of Statistical Climatology at the University College of Dublin (UCD). His research involves the study of spatial statistics and their application to help us to better understand climate extremes in Ireland. John has a B.A. in Maths from Trinity College Dublin and an M.Sc. in Meteorology and Climatology from UCD. He also has a B.A. in Media Production. In addition to his own research interests, he currently lectures in statistics, decision making, and quantitative analysis.

Miss Marie-Pauline Beugin

Full Bio:

Works at – PhD student in eco-epidemiology at the Laboratoire de Biométrie et Biologie Evolutive
Teaches – Genetic data analysis and exploration using R (GDAR)

Marie-Pauline is a PhD student in eco-epidemiology at the Laboratoire de Biométrie et Biologie Evolutive (LBBE) in Lyon and the Animal Genetics Laboratory Antagene (Lyon). She studied at the Paris institute of technology for life, food and environmental sciences and specialized in environment management issues. Then, she focused on evolution, genetics and modelling issues during her master degrees. Her current work aims at quantifying the level of hybridization between subspecies of cats in France and assessing how these levels of hybridization may influence the circulation of viruses.

Miss Jane Remfert

Full Bio:

Works at – PhD student at Virginia Commonwealth University
Teaches – Landscape genetic data analysis using R (LNDG)

Jane is population geneticist interested in how habitat heterogeneity affects the movement of genes across a landscape and the resulting effect on population genetic structure.  She is currently looking at how native and urban landscape structures affect pollen movement in flowering dogwood (Cornus florida).  Additionally, she is interested in functional effects of gene escape from cultivar to native dogwood populations.  My research draws from GIS, population and quantitative genetics, and landscape ecology.

Dr Carlos Abrahams

Full Bio:

Works at – Technical Director at Baker Consultants Ltd and Senior Lecturer at Nottingham Trent University
Teaches – Bioacoustics for ecologists: Hardware, Survey design and Data analysis (BIAC)

Carlos has been working in the practical fields of ecology and nature conservation for over 25 years.  Starting his career in nature reserve and countryside management, he has been an ecological consultant since 2001. Alongside managing a busy consultancy, undertaking Environmental Impact Assessments for a range of clients, he is also a part-time lecturer at Nottingham Trent University on the BSc Environmental Biology. Carlos has previously published research on wetland vegetation/management and amphibian habitat selection. However, after many years of using static and handheld detectors for bat surveys, he is currently engaged in studying the potential of bioacoustic methods for investigating bird populations, especially for rare and declining species such as capercaillie and nightjar.

Stephanie Smebdol

Full Bio:

Works at – Director of Customer Success for Vemco
Teaches – Aquatic Acoustic Telemetry Data Analysis (ATDA)

Stephanie Smedbol has worked with Vemco for 8 years, during this Stephanie has worked in R&D, Product Management, and Customer Support, with primary focus on ensuring that researchers get the most out of their telemetry equipment and data.

Stephanie’s areas of expertise include telemetry study design, telemetry field work, telemetry system performance analysis, and technical training.

Prior to joining Vemco, Stephanie worked for over 10 years with Fisheries and Oceans Canada and several other organizations on the development of new marine finfish species for aquaculture, including research on reproductive physiology and early larval rearing.

Stephanie has a Bachelor of Science in Biology from McGill University (Montreal, Canada) and a Bachelor of Engineering (Electrical) from Dalhousie University in Nova Scotia, Canada.

Tracey Steig

Full Bio:

Works at – General Manager for HTI-Vemco USA, Inc
Teaches – Aquatic Acoustic Telemetry Data Analysis (ATDA)

Tracey has a Bachelor of Science and Master of Science degrees in Civil Engineering from the University of Washington.  Tracey was instrumental in HTI’s acoustic tag telemetry system development starting in 1997.  He has conducted numerous hydroacoustic and acoustic tag studies on the Columbia and Snake rivers, and worldwide since 1982 and has worked for HTI since 1988.

Dr. Ryan Mowat

Full Bio:

Works at – Head of Environment and Fisheries at RS Aqua
Teaches – Aquatic Acoustic Telemetry Data Analysis (ATDA01)

Dr Ryan Mowat is head of Environment and Fisheries at RS Aqua, who supply and support Vemco acoustic telemetry in the UK and Ireland. Over several years Ryan has helped UK and Irish researchers plan and deploy numerous acoustic fish tracking systems, from small, localised tracking projects to large scale coastal arrays. Recently RS Aqua was appointed as the UK and Ireland representative for HTI-Vemco, and going forward will work with researchers using these cabled telemetry systems.

Sam Johnston

Full Bio:

Works at – Principal Investigator for HTI-Vemco USA, Inc
Teaches – Aquatic Acoustic Telemetry Data Analysis (ATDA)

Sam has been a Senior Fisheries Biologist with HTI, now HTI-Vemco, since 1989, and has 36 years of experience in fisheries acoustics.  He manages evaluations of migratory fish in rivers, mobile surveys in lakes and oceans, hydropower relicensing projects, and co-directs software development.  After receiving a BS in Fisheries from Humboldt State University (1980), he served as fisheries biologist with Oregon Dept. of Fish and Wildlife and California Dept. of Fish and Game from 1980 to 1982.  Mr. Johnston was a Senior Scientist with BioSonics, Inc. from 1982 to 1989, where he managed numerous hydroacoustic fisheries studies.  At HTI-Vemco  Mr. Johnston serves as Project Manager and Project Leader for acoustic tag and hydroacoustic evaluations in a variety of aquatic environments.  Mr. Johnston has authored over 50 publications and technical reports on fisheries acoustics, and has taught short courses on fisheries acoustics for over 30 years.

Paul Howden-Leach

Full Bio:

Works at – Director of Skyline Ecology,
Teaches – Bioacoustics for ecologists: Hardware, survey design and data analysis (BIAC)

Paul is an independent consultant whose clients include Wildlife Acoustics, Voltage TV and large multidisciplinary organisations specialising in Bioacoustics analysis such as TSP and Atkins.

He has been working as a practical field ecologist for 19 years specialising in bat (and later bird) bioacoustics. He has since become a recognised expert on ultrasonic bat sounds and continues to undertake large bat identification projects based within the UK. Paul currently runs training courses on bat bioacoustics all over the world, teaching at a range of different levels from PhD students and researchers to amateurs involved in citizen science projects and school groups. He works in an advisory capacity within the academic and business sectors on improving methods of recording and analysing sound from large data sets, and has also assisted with wildlife features on bats for the BBC. Paul’s interest in bioacoustics has now developed into a wide range of sound recording and analysing techniques, including acoustic, ultrasonic and infrasonic sound. This has progressed into an interest in the practical application of different types of sound recordings; such as the use of soundscapes as a potential biodiversity indicator.

Dr. Richard Schuster

Full Bio:

Works at – Liber Ero Postdoctoral Fellow at the Department of Biology, Carleton University, in Ottawa, Canad

Teaches – Conservation planning using PRIORITIZR : from theory to practice (PRTZ)

Richard is a quantitative conservation biologist and a Liber Ero Postdoctoral Fellow at Carleton University in Canada, as well as an adjunct Professor at the University of Northern British Columbia. He studies the ecological impacts of human activities and develops novel techniques to prioritize conservation areas and strategies. Richard has a theoretical and applied background in quantitative ecology and statistics and spatial big data analysis. He also develops novel analytical tools for researchers and other practitioners to explore and use in the conservation planning and management. These tools range from data visualization to complex decision support tools.

Colleagues and Richard recently published a package/library for the open-source R statistical software called prioritizr, which allows for systematic conservation prioritization. He is creating a user-friendly internet browser interface to allow non-technical users to quickly devise high-quality, data-driven spatial plans. These tools increase the accessibility of data to anyone with access to an internet browser and can help empower users to use data in a knowledge informed decision-making process.

Dr. Cory Merow

Full Bio:

Works at – Department of Ecology and Evolutionary Biology at both the University of Connecticut and Yale University

Teaches – R package development (PAKG)

Cory is a quantitative ecologist interested in forecasting ecological responses to global change. He focuses on developing mechanistic forecasts – grounded in demography – of population, community and ecosystem responses to climate change, disturbance, land use change, and nonnative species. He designs statistical and ecoinformatics tools to synthesize data sources across ecological scales. These forecasts focus on the highly diverse Cape Floristic region of South Africa, temperate forests worldwide, and global biogeography. Cory has been teaching demographic modeling since 2013.