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<p class="MsoNormal"><b><span style="color:black">From: </span></b><span style="color:black">"Jain, Shreya" <Shreya.Jain@DEShawResearch.com><br>
<b>Subject: </b>D. E. Shaw Research Recruiting Talk at MIT<o:p></o:p></span></p>
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</span><b>D. E. Shaw Research Recruiting Talk<br>
<br>
</b>Date: Thursday, September 19, 2019<br>
Time: 5:00 – 6:30 PM<br>
Location: Moore Room, Building 6, Room 321<br>
<br>
Food will be served!<br>
<br>
<b>About the Talk</b><br>
<br>
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.<br>
<br>
Join us for an overview of our work and a discussion of current openings in the lab.<br>
<br>
<b>About the Speakers<br>
<br>
Liz Decolvenaere</b><o:p></o:p></p>
<p class="MsoNormal">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.
<br>
<br>
<b>Kevin Yuh</b><o:p></o:p></p>
<p class="MsoNormal">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.<o:p></o:p></p>
<p class="MsoNormal" style="margin-bottom:12.0pt"> <o:p></o:p></p>
<p class="MsoNormal" style="margin-bottom:12.0pt"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif">Best wishes,<br>
<br>
Shreya<br>
<br>
Shreya Jain<br>
Strategic Growth<br>
D. E. Shaw Research<br>
</span><a href="http://www.DEShawResearch.com"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif">www.DEShawResearch.com</span></a><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"><o:p></o:p></span></p>
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