[Lifesciences & Healthcare Track]: ChemReasoner: A Generative AI approach for Discovering Novel Catalysts | Kisaco Research
Speaker(s): 

Author:

Sutanay Choudhury

Chief Scientist, Data Science
Pacific Northwest National Laboratory

Sutanay Choudhury is Chief Scientist, Data Sciences in Advanced Computing, Mathematics and Data division at Pacific Northwest National Laboratory, and the co-director of the Computational and Theoretical Chemistry Institute. His current research focuses on scalable graph representation learning and neural-symbolic reasoning, with applications to chemistry, medical informatics and power grid. Sutanay has more than a decade's experience in developing artificial intelligence and data analytics systems that extract, learn and search for patterns from the "complex web of things" - webs that emerge from atomistic interaction in molecular networks, to interaction between diseases, drugs and genes, or the web of human knowledge captured in knowledge bases such as Wikipedia, PubChem and SNOMED. His research has been supported by US Department of Energy, US Department of Homeland Security, DARPA and US Department of Veterans Affairs.

Sutanay Choudhury

Chief Scientist, Data Science
Pacific Northwest National Laboratory

Sutanay Choudhury is Chief Scientist, Data Sciences in Advanced Computing, Mathematics and Data division at Pacific Northwest National Laboratory, and the co-director of the Computational and Theoretical Chemistry Institute. His current research focuses on scalable graph representation learning and neural-symbolic reasoning, with applications to chemistry, medical informatics and power grid. Sutanay has more than a decade's experience in developing artificial intelligence and data analytics systems that extract, learn and search for patterns from the "complex web of things" - webs that emerge from atomistic interaction in molecular networks, to interaction between diseases, drugs and genes, or the web of human knowledge captured in knowledge bases such as Wikipedia, PubChem and SNOMED. His research has been supported by US Department of Energy, US Department of Homeland Security, DARPA and US Department of Veterans Affairs.