[bioundgrd] Fwd: D. E. Shaw Research Information Session

[Janice Chang]

Begin forwarded message:

From: "Sun, Kevin" <Kevin.Sun at DEShawResearch.com<mailto:Kevin.Sun at DEShawResearch.com>>
Subject: D. E. Shaw Research Information Session
Date: September 25, 2017 at 11:34:15 AM EDT


My name is Kevin Sun and I’m writing on behalf of D. E. Shaw Research, a computational biochemistry group based in Manhattan.  We will be hosting a talk at 5:00 PM on Thursday, September 28, 2017 in the Moore Room, 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. Would you be willing to circulate an email announcement to undergraduate and graduate students in the MIT Department of Biology, or recommend someone who might be able to help us spread the word about the talk?

Below I have included the logistics of the talk, as well as information about our company and about our speakers for the event.  I am happy to answer any questions you may have, and I look forward to hearing from you!  Thanks very much for your help.

Best,
Kevin

Kevin Sun
Strategic Growth
D. E. Shaw Research
Kevin.Sun at DEShawResearch.com<mailto:Kevin.Sun at DEShawResearch.com>
www.DEShawResearch.com<http://www.deshawresearch.com/>


D. E. Shaw Research Information Session

Date:               Thursday, September 28, 2017
Time:               5:00 – 6:30 PM
Location:        Moore Room, Building 6, Room 321

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:

Will Hasenplaugh
Will Hasenplaugh develops software for Anton. He earned B.S. and M.S. degrees in electrical engineering from the University of Arizona. Prior to joining DESRES, Will worked as a Computer Architect at Intel in Hudson, MA. He maintained that position into his doctoral studies at the Massachusetts Institute of Technology, where he received a Ph.D. in the Computer Science and Artificial Intelligence Laboratory (CSAIL) for his work on parallel graph algorithms.

Yakov Pechersky
Yakov Pechersky is involved with simulation studies of biological systems. He holds an A.B. in chemical and physical biology with a minor in Jewish studies from Harvard University. As an undergraduate in Professor Emily Balskus’s lab, Yakov characterized enzymes in the biosynthetic gene cluster for cremeomycin and developed an algorithm to discover and predict bioactivity of cryptic natural products in bacterial genomes. Prior to joining DESRES, Yakov worked as an Organism Engineer and Designer at Ginkgo Bioworks in Boston, where, among other projects, he engineered yeast and bacteria to produce flavors, fragrances, and nutraceuticals, and developed a new protein alignment algorithm.

Please use the following link to RSVP: https://goo.gl/aDxrE7

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