Joe Felsenstein is Professor of the Department of Genome Sciences and in the Department of Biology, and adjunct Professor in the Department of Statistics and in the Department of Computer Science and Engineering at the University of Washington, Seattle. Past President of the Society for the Study of Evolution. Recipient of the Weldon Memorial Prize, the Darwin-Wallace Medal of the Linnean Society of London, the John J. Carty Award for the Advancement of Science from the National Academy of Sciences and of the 2013 International Prize for Biology of the Japan Society for the Promotion of Sciences. He is a Member of the American Academy of Arts and Sciences and the National Academy of Sciences. On the Editorial Board of five journals.
He describes himself as "world-renowned for my outstanding modesty".
Karl Friston is Professor of Imaging Neuroscience/Wellcome Principal Research Fellow, Faculty of Brain Science, University College London. In 2000 he was President of the international Organization of Human Brain Mapping. In 2003 he was awarded the Minerva Golden Brain Award and was elected a Fellow of the Royal Society in 2006. In 2008 he received a Medal, Collège de France and an Honorary Doctorate from the University of York in 2011. He became of Fellow of the Society of Biology in 2012.
Reader in Pathogen Dynamics at the University of Cambridge; formerly Adjunct Associate Professor in the Dept. of Pathology, University of California San Diego (UCSD). Graduated with a BA in Natural Sciences (1st class), Trinity College, Cambridge (1992), DPhil in Mathematical Biology, Merton College, Oxford (1996). Postdoctoral positions at Princeton University, Oxford University, University of Edinburgh and UCSD. Awards include: NATO Postdoctoral Fellowship (1996), MRC Nonclinical Training Fellowship (1997-2000), a Royal Society Wolfson Research Merit Award (2008-2013), and Thomson-Reuters Highly Cited Researcher awards in 2014, 2015, and 2016.
Associate Director fo Computational Sciences, The Jackson Laboratory for Genomic Medicine, CT, USA. Previously worked at the Peter MacCallum Cancer Center in Melbourne Australia and at the Genome Institute of Singapore.
Professor with tenure and Principal Investigator at the University of Antwerp (Belgium). Visiting Academic at the Department of Computer Science, University of Sheffield (UK), and external collaborator at the Brain Mind Institute of the Swiss Federal Institute of Technology of Lausanne (Switzerland). Associate Editor of Frontiers in Neuroengineering and PLOS ONE. Recipient in 2001 of a long-term fellowship from the Human Frontier Science Program Organization. Since 2008, Director of the Lab of Theoretical Neurobiology and Neuroengineering.
Consulting biostatistician in the Division of Health Sciences at the University of Otago. In this role, I provide biostatistical expertise to a wide range of researchers on a large number of projects. Much of this is through collaborative relationships as a co-investigator with the remainder through more informal consulting relationships. I have particular interests in obesity research, especially in pediatric populations; nuts as a functional food; respiratory epidemiology; and sun protection. Prior to my current position I was a software metrics and machine learning researcher in the Department of Information Science at the same institution.
Professor of Theoretical Epidemiology in the Department of Zoology at the University of Oxford. Recipient of the Zoological Society of London Scientific Medal and the Royal Society Rosalind Franklin Award. Member of European Advisory Board of Princeton University Press.
Distinguished Professor of Environmental Science and Policy. Fellow of the American Academy of Arts and Sciences. Former President of the Society for Mathematical Biology and Editor of the Encyclopedia of Theoretical Ecology.
Michael A. Henson received the B.S. degree in chemical engineering from the University of Colorado, Boulder in 1985, the M.S. degree in chemical engineering from the University of Texas, Austin in 1988, and the Ph.D. degree in chemical engineering from the University of California, Santa Barbara in 1992. He held the position of visiting research scientist with the DuPont Company from 1992 to 1993, assistant professor and associate professor of chemical engineering at Louisiana State University from 1994 to 2002, Alexander von Humboldt Research Fellow at the University of Stuttgart from 2001 to 2002 and visiting professor at the Harvard Department of Systems Biology in 2009. He currently is professor of chemical engineering at the University of Massachusetts, Amherst. His research is focused on computational modeling of biotechnological and circadian systems.
Group leader in Computational Neuroscience Unit at Okinawa Institute of Science and Technology; Senior Fellow in the Department of Physiology and Biophysics at the University of Washington, Seattle; PhD in Physics (Theoretical High Energy Physics) from University of Pennsylvania
Distinguished Professor of Ecology and Evolutionary Biology, UCLA, and Senior Staff Scientist, Smithsonian Tropical Research Institute; Founding Chair, National Council for Science and the Environment, Washington, D.C.; Co-founder, Center for Tropical Forest Science; Fellow, American Academy of Arts and Sciences: Fellow, American Association for the Advancement of Science.
I am currently an assistant professor at the University of Texas Health Science Center at Houston. I work on statistical genetics, computational biology, bioinformatics, and sequence data analysis. With backgrounds in machine learning and data mining, my research is focused on development of computational and statistical methods for analysis of massive data to understand genetics and biology of complex traits. I have been working on the analysis of large-scale next-generation sequencing data, for which I developed statistical models and software pipelines for detecting sample contamination, variant discovery, machine-learning based variant filtering, and genotyping of structural variations. I also work on genetics of diabetes, obesity, and related traits and study of metabolomic and microbiome compositions related to genetics of common and complex traits.