D. E. Shaw Research Recruiting Talk

Dear all,

we cordially invite you to the D. E. Shaw Research Recruiting Talk, Masters & PhDs explicitly welcome!!

Date: Monday, April 29, 2024
Time: 4:30 PM to 6:30 PM CET
Location: Conference room (EG.006) and a networking event in the foyer at TUM Center for Protein Assemblies CPA

Food and drinks will be served!

About the Company and Talk

D. E. Shaw Research is a New York-based drug discovery and computational biochemistry research company developing and using advanced computational technologies to understand the behavior of biologically and pharmaceutically significant molecules at an atomic level of detail, and to design precisely targeted, highly selective drugs for the treatment of various diseases. Among our core technologies is a proprietary special-purpose supercomputer called ANTON® which we designed and constructed to perform molecular dynamics simulations more than 100 times faster than the world's fastest general-purpose supercomputers. DESRES develops and refines advanced biomolecular modeling methods, software, and machine learning techniques on ANTON®, as well as on general-purpose supercomputers, in order to pursue both internal and collaborative drug discovery programs. Our team includes computational chemists, biologists, drug discovery scientists, computer scientists, machine learning researchers, applied mathematicians, and computer architects and engineers, all working collaboratively within a tightly coupled interdisciplinary environment.

Whether you’re familiar with our group, or this is the first you’re hearing of us, join us to learn more about our current research, drug discovery, machine learning, and engineering projects, as well as our current openings.

Speakers

Lucky Pattanaik, a member of our Machine Learning team will be a presenting a technical talk. Lucky graduated with a Ph.D. in chemical engineering from MIT, and he holds a B.S. in chemical engineering from the Ohio State University. Lucky was jointly advised by William Green and Klavs Jensen during his graduate studies at MIT, where he worked on developing machine learning algorithms to accelerate drug discovery; building data-driven predictors of 3D molecular structures using discriminative and generative models; and investigating and developing new chemical representations for predictions on chiral systems.

Aashima Jhingon, a member of our recruiting team, will talk about career opportunities, open positions (on our chemistry and drug discovery, computer science, and machine learning teams), and the application process at DESRES.

Best regards