Ben Letcher is a quantitative stream ecologist working at the interface of field studies and mathematical models of population and evolutionary dynamics. My group is combining information from long-term intensive studies of stream fish with extensive studies to develop broad scale models of population response to environmental change.
George M. Moffett Prof. of Biology at Princeton & the Director of the Center for BioComplexity. Past Chair of the Board of the Beijer Inst. of Ecological Economics, past President of the Ecological Society of America, past President of the Society for Mathematical Biology, past Chair of the Council of IIASA, and past Co-Chair of the Science Board of the Santa Fe Institute. Awards include the A.H. Heineken Prize for Environmental Sciences, the Kyoto Prize in Basic Sciences, and the Margalef Prize
Associate Professor in the Department of Ecology and Evolution, University of Colorado Boulder. Curator at the Museum of Natural History, University of Colorado Boulder. Packard Fellow, National Geographic Explorer.
Dr. Bruce Lieberman is a paleontologist and evolutionary biologist interested in macroevolution and the evolutionary history of invertebrates.
Assistant Professor, Department of Biological Sciences, University at Buffalo 2010-present; Postdoctoral Fellow/Research Associate, University of Oslo 2003-2008; PhD, University of Copenhagen 2003.
A Professor of Anthropology and Director of the Environmental Studies Program at Binghamton University in New York.
Nick works as an Independent Research Fellow in the Institute for Microbiology and Infection at the University of Birmingham, sponsored by an MRC Fellowship in Biomedical Informatics. His research explores the use of cutting-edge genomics and metagenomics approaches to the diagnosis, treatment and surveillance of infectious disease. Nick has so far used high-throughput sequencing to investigate outbreaks of important pathogens such as Pseudomonas aeruginosa,Acinetobacter baumannii and Shiga-toxin producing Escherichia coli. His current work focuses on the application of novel sequencing technologies such as the Oxford Nanopore for genome diagnosis and epidemiology of important pathogens, including most recently real-time surveillance of the Ebola outbreak in West Africa. A more general aim is to develop bioinformatics tools to aid the interpretation of genome and metagenome-scale data in routine clinical practice in collaboration.
Raquel López-Antoñanzas is a CNRS researcher at the Institut des sciences de l'évolution (University of Montpellier). In 2004, she received her PhD from the Muséum national d’Histoire naturelle in Paris (France). She works on the evolution of micromammals with a special focus on those from the Cenozoic of the Old World.
My group is interested in investigating the processes of evolution and biology using computational methods. We apply machine learning methods (HMMs, Bayesian statistics, particle filters, deep learning) to large data sets to study for example human demographic history or non-coding functional elements in the genome.
Professor of Biology, University of South Dakota; Past President, Society of Systematic Biologists; Elected Fellow, AAAS.
Oceanographer with a Ph.D. in Zoology from the University of Hawaii at Manoa, USA and currently Assistant Professor of Zoology at the Federal University of Bahia, Brazil. Research interests include benthic ecology, trophic ecology and systematics, with special focus on taxonomy of annelid polychaetes.
He received a B.S. in Biology, M.Sc., and Ph.D. in Ecology from the
Universidad Nacional Autónoma de Mexico (UNAM). He is currently a Professor of Biological Sciences at the Universidad Autonoma del Estado de Mexico. Most of his research interests have centered on the behavioral ecology of snakes and evolutionary processes that shape ecological diversity in sympatric species. Although he prefers working with snakes, his research has involved a variety of animals ranging from hylid frogs to domestic birds and mammals. Javier teaches courses in ecology, animal ecology, and statistics.