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2017 D.E. Shaw Info Session

D.E. Shaw
October 4, 2017 - 4:00pm
Chemistry Gazebo

Food will be served! 

About The Talk

D. E. Shaw Research is an independent research laboratory that conducts scientific research and technological development in the field of computational biochemistry.  Our group focuses on the design of novel algorithms and machine architectures for high-speed molecular dynamics (MD) simulations of proteins and other biological macromolecules, with the ultimate aim of significantly advancing the process of drug discovery.  We have designed and developed multiple generations of Anton, a massively parallel supercomputer that executes MD simulations orders of magnitude faster than was previously possible.  Anton has now simulated the behavior of a number of proteins for periods as long as several milliseconds, revealing biologically and pharmaceutically relevant aspects of protein dynamics.

Members of our group include computational chemists and biologists, computer scientists and applied mathematicians, and computer architects and engineers of all seniority levels, working collaboratively within a tightly coupled interdisciplinary research environment under the leadership of chief scientist Dr. David E. Shaw.

Join us for an overview of our work and a discussion of current openings in the lab.

About The Speakers

Avi Robinson-Mosher

Avi Robinson-Mosher is involved in the design of algorithms and software related to Desmond. He holds a B.S. in computer science and physics from Yale University; a M.Sc. in philosophy, policy, and social value from the London School of Economics; and a Ph.D. in computer science from Stanford University. As a graduate student in Ronald Fedkiw’s group, Avi developed a first-of-its-kind method for stably coupling fluid simulation to solids. Prior to joining DESRES, Avi was a postdoctoral fellow in Pamela Silver’s laboratory at the Wyss Institute for Biologically Inspired Engineering at Harvard Medical School, where he developed a coarse-grained molecular dynamics simulation system to model the binding behavior of fusion proteins with flexible linkages, and also engineered targeted fusion proteins directed against B-cell lymphoma and glioblastoma.

Tasha Arvanitis

Tasha Arvanitis is involved in the development of improved force fields for biomolecular simulation. She holds a B.S. in physics from Harvey Mudd College. During her senior year at Harvey Mudd, Tasha worked with a small team of students to design and prototype an alignment system for dynamic transmission electron microscopes. She has also interned at Fermilab and at Yelp as a software engineer.

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