Evolution is inherently stochastic and probabilistic models have played a central role in understanding evolution. As we learn more about the structure of genomes and the pattern of genetic variation within and between species, we need to develop new probabilistic models to describe the complex biological and historical processes that drive evolution. In particular, it is important to think about mathematically sound approximations that are computationally scalable while capturing the relevant degrees of freedom in evolutionary dynamics. The goal of this workshop is to help identify the key models, analyze their theoretical behavior, and discuss appropriate, efficient inference methods for those models. The mathematical and algorithmic ideas that are needed for the analysis of such models will draw from diverse areas, including combinatorics, coalescent theory, spatial diffusions, MCMC, graphical models, statistics, and statistical physics.
Enquiries may be sent to the organizers workshop_evolution3 [at] lists.simons.berkeley.edu (at this address.)
David Aldous (UC Berkeley), Claudia Bank (École Polytechnique Fédérale de Lausanne), David Basanta (H. Lee Moffitt Cancer Center & Research Institute), Ivona Bezáková (Rochester Institute of Technology), Anand Bhaskar (UC Berkeley), Nayantara Bhatnagar (University of Delaware), Katarina Bodova (IST Austria), Erick Chastain (Rutgers University), Andrew Clark (Cornell University), Graham Coop (UC Davis), Michael Desai (Harvard University), Rick Durrett (Duke University), Jonathan Dushoff (McMaster University), Alison Etheridge (University of Oxford), Steven Evans (UC Berkeley), Vitaly Feldman (IBM Almaden), Daniel Fisher (Stanford University), Jasmine Foo (University of Minnesota), Dan Gusfield (UC Davis), Oskar Hallatschek (UC Berkeley), Oskar Hallatschek (UC Berkeley), Alexandru Hening (University of Oxford), Joachim Hermisson (University of Vienna), John Huelsenbeck (UC Berkeley), Paul Jenkins (University of Warwick), Varun Kanade (UC Berkeley), Dan Klein (UC Berkeley), Katia Koelle (Duke University), Joachim Krug (University of Cologne), Amaury Lambert (Université Pierre et Marie Curie and Collège de France), Charles Langley (UC Davis), Adi Livnat (Virginia Tech), Shishi Luo (UC Berkeley), Iain Mathieson (Harvard University), Erick Matsen (Fred Hutchinson Cancer Research Center), Elchanan Mossel (UC Berkeley), Luay Nakhleh (Rice University), Rasmus Nielsen (UC Berkeley), Lior Pachter (UC Berkeley), Christos Papadimitriou (UC Berkeley), Peter Pfaffelhuber (University of Freiburg), Lea Popovic (Concordia University), Peter Ralph (University of Southern California), Satish Rao (UC Berkeley), Adam Retchless (UC Berkeley), Sebastien Roch (University of Wisconsin-Madison), Sriram Sankararaman (Harvard Medical School), Josh Schraiber (UC Berkeley), Montgomery Slatkin (UC Berkeley), Yun Song (UC Berkeley), Daniel Štefankovič (University of Rochester), Ulrich Steiner (Max-Planck Odense Center on the Biodemography of Aging), David Steinsaltz (University of Oxford), Justin Thaler (Harvard University), David Tse (UC Berkeley), Shripad Tuljapurkar (Stanford University), Gregory Valiant (Stanford University), Leslie Valiant (Harvard University), Paul Valiant (Brown University), Nisheeth Vishnoi (Microsoft Research), Kenneth Wachter (UC Berkeley), Andrew Wan (Harvard University), Tandy Warnow (University of Texas, Austin), Daniel Weissman (IST Austria), Daniel Zivkovic (Ludwig-Maximilian-University Munich), James Zou (Harvard University).