Information Session & Campus Recruiting
D.E. Shaw Research Information Session
Wednesday, October 5th | 3:30pm - 5:00pm
Y2E2, Room 299
About The Talk
D. E. Shaw Research is an independent research laboratory that conducts basic scientific research in the field of computational biochemistry under the direct scientific leadership of Dr. David E. Shaw. Our group is currently focusing on molecular simulations involving proteins and other biological macromolecules of potential interest from both a scientific and a pharmaceutical perspective, with the ultimate aim of significantly advancing the process of drug development. Members of the lab include computational chemists and biologists, computer scientists and applied mathematicians, and computer architects and engineers of all seniority levels, all working collaboratively within a tightly coupled interdisciplinary research environment.
Our lab has designed and developed multiple generations of a massively parallel supercomputer called Anton specifically for the execution of molecular dynamics (MD) simulations. Each Anton computer can simulate a single MD trajectory as much as several milliseconds or so in duration -- a timescale at which biologically significant phenomena occur. Anton has already generated the world’s longest MD trajectory.
Join us for an overview of our work on parallel algorithms and machine architectures for high-speed MD simulations and a description of the simulations that have helped elucidate the dynamics and functional mechanisms of biologically important proteins.
About The Speakers
Robert McGibbon is involved in the development of improved force fields for biomolecular simulation. He holds an A.B. and a Ph.D. in chemistry from Princeton University and Stanford University, respectively. While at Stanford, Robert worked to develop Markov models for long-timescale molecular dynamics and developed a number of open-source software packages for the analysis of MD simulations. In his free time, he enjoys rock climbing and following U.S. Supreme Court jurisprudence.
Lindsay Willmore is involved with simulation studies of biological systems. She graduated from Stanford University with a B.S. in computer science with a focus on biocomputation. As an undergraduate, Lindsay performed research in the Giocomo Lab at Stanford, doing experimental and computational research to investigate the role of grid cells in regulating spatial memory, navigation, and learning. She has also interned at Ancestry.com, where she analyzed genotyping data and developed algorithms for genealogy research.