This event is free and open to Harvard affiliates, only. Registration is required.
About the Talk: D. E. Shaw Research (DESRES) is a New York–based independent research laboratory that conducts scientific research in the field of computational biochemistry. Their group is currently focusing primarily on long molecular dynamics (MD) simulations involving proteins and other biological macromolecules of potential interest from both a scientific and a pharmaceutical perspective. An integral part of their effort consists of designing and developing custom hardware and software to carry out this research. They are also pursuing drug discovery programs, leveraging the insights enabled by their novel technologies, with an initial focus on drug targets that have proved resistant to traditional drug discovery methods. Their team includes computational chemists and biologists, computer scientists and applied mathematicians, and computer architects and engineers, all working collaboratively within a tightly coupled interdisciplinary research environment under the leadership of their chief scientist David Shaw.
Join us for an overview of their work and a discussion of current openings in the lab.
About the Speakers:
Xinyi Guo is involved in algorithm design and software development for computational chemistry applications. She holds a B.A. in physics and mathematics from Pomona College and a Ph.D. in astrophysics with a secondary field in computational sciences and engineering from Harvard University. For her dissertation research on fundamental plasma physics, she discovered mechanisms for particle heating and acceleration in collisionless shocks using state-of-the-art ab initio plasma simulations. Xinyi has also conducted research on gravitational waves at the California Institute of Technology.
Kayvon Tabrizi is involved in the development of improved force fields for biomolecular simulation. He received his B.S. in chemical and biomolecular engineering from Johns Hopkins University. There, he developed simulations to compute peptide-surface binding free energies through enhanced Monte Carlo sampling techniques as a member of Jeffrey Gray's group.