[bioundgrd] Mon Feb 2 5:30-70pm - D. E. Shaw Research Information Session

[Janice Chang]

Begin forwarded message:

From: "Renaud, Julia" <Julia.Renaud at DEShawResearch.com<mailto:Julia.Renaud at DEShawResearch.com>>
Subject: D. E. Shaw Research Information Session
Date: January 29, 2015 at 10:40:47 AM EST

As you know, I write from D. E. Shaw Research, a computational biochemistry group based in Manhattan. As we did in the fall, we will be hosting a talk at 5:30 pm this Monday, February 2, 2015 in Building 6, Room 321.  During the talk we will present an overview of our work and answer any questions students may have about our lab. Our group is quite interdisciplinary and so we would like to invite students of all degree levels from a variety of fields to attend.  Below I have included the logistics of the talk, as well as information about our company and about our speakers for the event, and a flier.  I am happy to answer any questions you may have, and I look forward to hearing from you!

Julia
Julia Renaud
Strategic Growth
D. E. Shaw Research
www.DEShawResearch.com<http://www.deshawresearch.com/>


D. E. Shaw Research Information Session

Date:           Monday, February 2, 2015
Time:           5:30 – 7:00 PM
Location:    Building 6, Room 321

Food will be served!

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.  Members of the lab include computational chemists and biologists, computer scientists and applied mathematicians, and computer architects and engineers, all working collaboratively within a tightly coupled interdisciplinary research environment.

Our lab has designed and constructed 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 a millisecond 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
Brent Gregersen
Brent is involved in the development of improved force fields for biomolecular simulation. He earned a Ph.D. in physical chemistry from the University of Minnesota, and a B.S. in biochemistry from the University of California, San Diego. His previous research focused on a variety of topics geared toward the development, implementation, and application of novel methods for multi-scale quantum simulations of biological reactions.
Kshitij Lauria
Kshitij develops computational chemistry software tools. Kshitij graduated with honors from Brown University with an Sc.B. in math and computer science. As an undergraduate, he researched programming language semantics and worked on combinatorial algorithms for solving lattice models of the lipid bilayer.



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