Louis Bernatchez
Louis was a professor of genetics at Laval University and the Canada Research Chair in genomics and conservation of aquatic resources.
His groups’ research projects combined quantitative and functional genomics, population genomics, bioinformatics, ecology and physiology. These projects included topics that can be sources of conflict among conservation biologists, resource managers and industry. For instance, they worked to address questions of interest to fisheries managers, the aquaculture industry and conservations. These three sectors are facing common problems concerning the erosion of genetic diversity and all require further knowledge of the processes that generate and maintain genetic diversity and must collaborate to enable sustainable resource management. We aim to fill this gap in our knowledge and provide these actors with the information required to best manage our country's biological resources.
Eric C. Anderson
Eric is a research molecular geneticist at the Southwest Fisheries Science Center, Santa Cruz, CA, and a research associate in the Institute of Marine Sciences at University of California, Santa Cruz.
Eric develops and applies statistical and computational methods for inference from population genetic data. Most methods are directly relevant to management and conservation. His work has focused on Monte Carlo methods for efficient calculation of likelihoods from genetic models, Bayesian methods, computations on the coalescent process, application of hidden Markov models and graphical models to genetics, and inference in finite mixture models. He has recently been involved in developing methods for multigenerational pedigree inference using SNPs, deriving and using multiallelic "microhaplotype" marker data from next generation sequencing of amplicons, and large-scale pairwise relationship inference for close-kin mark-recapture.
See Research page for details:Tiago Antao
Tiago is a bioinformatician currently working in the genomics of the mosquito Anopheles gambiae, the main vector of malaria. He was originally a computer scientist that crossed over to computational biology with a MSc in Bioinformatics from the Faculty of Sciences of the University of Porto, Portugal and a PhD on the spread of drug resistant malaria from the Liverpool School of Tropical Medicine in the UK. Is is one of the co-authors of Biopython a major bioinformatics package written in Python. He has also developed LOSITAN, a Jython based selection detection workbench.
In his post-doctoral career he has worked with human datasets at the University of Cambridge (UK) and with mosquito whole genome sequence data at the University of Oxford (UK) and currently as a Sir Henry Wellcome Fellow at the Liverpool School of Tropical Medicine. He is the author of the book "Bioinformatics with Python Cookbook"
Homepage:
Brenna Forester
Brenna is a postdoc at Colorado State University studying the population genomics and evolutionary ecology of tailed frogs. She is interested in how genomic data can be used to assess evolutionary potential and inform the management of species of conservation concern. Her research has also focused on testing statistical approaches for detecting loci under selection in a landscape genomics framework. She completed her M.Sc at Western Washington University, and her PhD at Duke University.
Website:Tabatha Graves
Tabitha's work strives to answer applied research questions at the intersection of wildlife biology, landscape ecology, and statistics. Much of her work has been in the landscape genetics realm and involved improving our understanding and developing analytical tools to address the influence of landscape features (including human impacts) on animals at the sub-population and population scales. While Tabitha has primarily studied grizzly bears, she has also worked on large range of projects including: black bears, wolverines, mountain goats, bighorn sheep, wolves, lynx, kinkajou, loons, hawks, owls, riparian vegetation, pika, and sugar pine.
Brian Hand
Brian Hand is a Postdoc at the 猎奇重口 and the Flathead Lake Biological Station.
Brian works in the burgeoning field of landscape genetics/genomics which combines landscape ecology, computer science and spatial statistics. He is interested in using problem solving techniques (algorithms) from the field of computer science to answer important conservation problems. One of his greatest interests is to develop web-based research and educational platforms to help to revolutionize the field of conservation genetics by providing managers and researchers with powerful and accessible software tools. Recently, his work has focused on riverscape genetics modeling and studying the impact of climate change on endangered species like steelhead and bull trout. And to study the genome-wide impacts of introgression in hybridizing westslope cutthroat with rainbow trout.
Brian's webpage:
Sarah Hendricks
Sarah is a PhD student in bioinformatics and computational biology at the University of Idaho. Sarah uses advanced genomics techniques to understand the threats to global biodiversity and to promote ecosystem conservation. Broadly, she is interested in the adaptive significance of phenotypic variation in small, isolated, and declining populations. Her dissertation focuses on the effects of disease-induced selective pressures on underlying genetic patterns in two endangered species: the Tasmanian Devil (Sarcophilus harrisii) and the Catalina Island Fox (Urocyon littoralis catalinae). To understand these evolutionary dynamics, she uses a variety of techniques ranging from RAD sequencing and transcriptomics.
Paul Hohenlohe
Paul A. Hohenlohe is an assistant professor at the University of Idaho.
His research focuses on linking quantitative and population genetics approaches to study the genomic basis of evolution in natural and experimental populations. He develops novel theoretical and analytical tools for high-throughput DNA sequencing technology, such as RAD sequencing, and applies these tools to address questions in evolution and conservation.
http://webpages.uidaho.edu/hohenlohe/
Marty Kardos
Marty Kardos is a postdoc at Uppsala University (Ellegren lab) working on projects related to trait mapping, and genomic signatures of selection and inbreeding in flycatchers and wolves. His research involves inbreeding and its fitness effects, and the genetic basis of adaptation and phenotypic variation in natural populations. He starts a postdoc at the 猎奇重口 in September 2016 mapping RADtag markers genome wide in cutthroat trout and testing for genome regions associated with survival and reproductive success in hybrid trout (and nonhybrid native).
Ben Koop
Ben is a Professor in Biology at the and the Canada Research Chair in Genomics and Molecular Biology
Ben’s interests lie in the fields of molecular biology, genetics and evolution. His research looks at broad molecular evolutionary problems using a highly multidisciplinary approach. His research employs multiple recent technologies for assembly of whole genomes, gene expression and patterns of genetic variation. He currently has several major interest areas: fish genome projects and genes of the immune system, molecular evolution currently targeting the immune system, and biological informatics.
Gordon Luikart
Gordon Luikart is a professor at the Flathead Lake Biological Station (猎奇重口).
He was a Research Scientist with the Centre National de la Recherche Scientifique (CNRS) at the University Joseph Fourier in Grenoble, France, and Professor at the University of Porto (and CIBIO) Portugal. His research focuses on the development and application of molecular and computational approaches to understand the genetic basis of fitness, adaptation, connectivity, spread of invasive species/pathogen, and the conservation wild and domestic animals. He coauthored the book entitled Conservation and the Genetics of Populations, with Fred Allendorf and Sally Aitken (http://www.wiley.com/WileyCDA/WileyTitle/productCd-EHEP002672.html).
Clint Muhlfeld
Clint is a Research Aquatic Ecologist for the USGS Northern Rocky Mountain Science Center stationed in Glacier National Park and Associate Research Professor at the 猎奇重口’s Flathead Lake Biological Station. His research interests encompass the fields of aquatic ecology, fisheries biology, and conservation biology. His research focuses on assessing how human stressors – invasive species, habitat modification, and climate change – influence native salmonids and rare alpine macroinvertebrates in the Rocky Mountains of the United States and Canada.
Cindy Schmidt
Cindy Schmidt is a research scientist in the Earth Science Division at NASA Ames Research Center. She has over 25 years of experience in using remote sensing and geographic information systems (GIS) technology for natural resource management, urban planning and human health risk assessment. She is currently an Associate Program Manager for NASA's Applied Sciences Ecological Forecasting Program. She is also a team member of the Applied Sciences Training Program (ARSET), where she conducts webinars and in-person trainings for using remote sensing for terrestrial applications.
Mike Schwartz
Mike is the Conservation Genetics Team Leader at the Forest Service Rocky Mountain Research Station (USFS). Schwartz has spent the past 15 years focusing on the fields of population, conservation, and landscape genetics. He seeks practical answers to natural resource problems, combining field and lab work. His research combines molecular ecology lab work with a strong field component in conservation genetics, landscape genetics, genetic monitoring and the ecology of threatened species. Mike is a recipient of the Presidential Early Career Award in Science and Engineering and the Rocky Mountain Research.
Arun Sethuraman
Arun Sethuraman is an Assistant Professor of Population Genetics at the California State University San Marcos. He is an evolutionary-computational biologist who develops new statistical methods, software, and pipelines for studying population genetic structure and speciation. Tools developed by him include IMa2p (parallel estimation of evolutionary demographic history under the Isolation with Migration, or IM model) , IMGui (a desktop app for IM analyses), MULTICLUST (fast likelihood based estimation of population genetic structure), InRelate (estimation of pairwise relatedness in inbred populations), and the upcoming PPP (PopGen Pipeline Platform for seamless integration of population genomics methods). His lab is primarily interested in using population genomic data to address evolutionary questions in conservation, biological control, and anthropology.
Robin Waples
Robin Waples is a senior scientist at the Northwest Fisheries Science Center of the National Marine Fisheries Service in Seattle. Robin led the Conservation Biology Division for a decade conducting comprehensive reviews of the status of Pacific salmonids under the US federal Endangered Species Act. Particular interests include:
adapting standard population genetics theory so that it can be applied to real-world problems; combining diverse types of information (molecular genetics; life history; ecology) to characterize hierarchical levels of diversity in Pacific salmon; assessing viability of complex conservation units that include multiple independent populations and diverse ecotypes; methods for analyzing gene flow and population structure.
http://www.nwfsc.noaa.gov/contact/display_staffprofile.cfm?staffid=188
Diane Whited
Diane Whited is a research Scientist in Landscape Ecology, Remote Sensing, and GIS at the Flathead Lake Biological Station. She works on multiple projects throughout the Pacific Northwest including development of software tools for use in habitat assessments, landscape genetics, and PVA. Her research and interests focus on the application of GIS/Remote sensing technology to aid in the understanding of the spatial and temporal dynamics of riverine environments and often fish.
Andrew Whiteley
Dr. Andrew Whiteley is a recent new hire as Assistant Professor of Fisheries & Conservation Genomics at the 猎奇重口. Dr. Whiteley conducts both applied conservation genetics research and research that tests and develops basic evolutionary theory. His overarching research goal is to link genetic factors with other aspects of an organism’s biology, life-history, and demography to help predict population persistence. More specifically, his research aims to understand: 1) spatial patterns of an organism’s genetic diversity, 2) effective population size as a predictor of persistence probability, 3) whether translocation is an effective practice to enhance persistence probabilities (“genetic rescue”), and 4) adaptive dynamics and mechanisms. His research also works to develop and test general tools that will help advance the field of conservation genetics/genomics.