D.E. Shaw Recruiting Event

Tuesday, September 25, 2018

5:00pm - 6:30pm


Watson Center for Information Technology (CIT)

Swig Boardroom 241

About the Talk

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

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.

Pelin Ayaz

Pelin Ayaz applies simulation to study biological systems, with a current focus on protein kinases. She holds a Ph.D. in biophysics from UT Southwestern Medical Center as well as a B.S. and an M.Sc. in industrial engineering from Koç University. Before joining DESRES, Pelin conducted postdoctoral research at Bayer Pharma AG Berlin, where she established kinases as model systems to study molecular determinants of target–inhibitor binding kinetics.