11-03, 09:00–09:45 (America/New_York), Central Park West (Room 6501)
Keynote by Michelle Gill
Scientific discovery is being transformed at all stages by advances in computational methods in
chemistry and biology. This talk will provide an introduction to the research and development my
team does to build BioNeMo, a framework for the the development and use of deep learning
models for drug discovery. It will conclude with a discussion of my transition from structural
biologist to machine learning scientist and lessons learned while growing a team from two to 40
developers.
No previous knowledge expected
Michelle Gill is a Manager for Research & Development and a Senior Deep Learning Scientist in
Life Sciences at NVIDIA, where she focuses on deep learning and HPC methods for scientific
discovery. She is also the technical lead for BioNeMo, a platform for development and access to
generative AI models in drug discovery. She holds a PhD in Molecular Biophysics and
Biochemistry from Yale University and completed a postdoctoral research fellowship at
Columbia University Medical School.