D. E. Shaw Research is an independent research laboratory that conducts scientific research and technological development in the field of computational biochemistry. Their 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. D. E. Shaw Research has 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 D. E. Shaw Research 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.
This info session will include an overview of the work done at D.E. Shaw Research and a discussion of current openings in their lab. Open to Harvard affiliates, ONLY! RSVP Required.
Food will be served!
About the Speakers:
Heidi Koldsø applies simulation to study biological systems, with a focus on ion channels. Prior to her work at DESRES, Heidi was a postdoctoral fellow in Mark Sansom's group at the University of Oxford. She holds a Ph.D. in chemistry from Aarhus University as well as an M.Sc. and a B.Sc. in medicinal chemistry, also from Aarhus. At Oxford, she conducted computational studies of protein-lipid, protein-protein, and lipid-lipid interactions within signaling receptors and complex, biologically-relevant membrane models.
Cory Hargus is involved in the development of improved force fields for biomolecular simulation. He earned an Sc.B. in biomedical engineering from Brown University. As an undergraduate, he used quantum mechanical models to understand the catalytic and redox activity of metal oxide materials.