[bioundgrd] FW: D. E. Shaw Research Recruiting Talk at MIT

Joshua Stone stonej at mit.edu
Wed Sep 18 08:53:09 EDT 2019


From: "Jain, Shreya" <Shreya.Jain at DEShawResearch.com>
Subject: D. E. Shaw Research Recruiting Talk at MIT

________________________________

D. E. Shaw Research Recruiting Talk

Date:               Thursday, September 19, 2019
Time:               5:00 – 6:30 PM
Location:        Moore Room, Building 6, Room 321

Food will be served!

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. Our 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 our effort consists of designing and developing custom hardware and software to carry out this research. We are also pursuing drug discovery programs, leveraging the insights enabled by our novel technologies, with an initial focus on drug targets that have proved resistant to traditional drug discovery methods. Our 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 our chief scientist David Shaw.

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

About the Speakers

Liz Decolvenaere
Liz Decolvenaere is involved in the development of improved force fields for biomolecular simulation. She holds a B.S. and Ph.D. in chemical engineering from the California Institute of Technology and the University of California at Santa Barbara, respectively. As a graduate student, Liz focused on exploring magnetic properties of transition metal alloys, utilizing density functional theory and cluster expansion Hamiltonians to make finite-temperature predictions. She also performed research at Sandia National Laboratories, developing a test set designed to evaluate the performance of ab-initio methods in accurately predicting the properties of transition metal alloys.

Kevin Yuh
Kevin Yuh develops computational chemistry software tools, including visualization software. He graduated from the California Institute of Technology with a B.S. in computer science. Prior to joining DESRES, he held an internship in the hardware technologies division of Apple, and previously worked in the Ellen Rothenberg lab on signal processing software for investigating T-cell development.

Best wishes,

Shreya

Shreya Jain
Strategic Growth
D. E. Shaw Research
www.DEShawResearch.com<http://www.DEShawResearch.com>



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