Richard Bonneau
Vice President of Machine Learning for Drug Discovery, Genentech Computational Sciences
"We are making models that combine strengths from both machine learning and molecular structure worlds, and hope that these models can power new generations of lab-in-the-loop drug discovery pipelines."
I combine biophysics and computational methods to build new approaches to biomolecular design and drug discovery. I have a background in computational structural biology and a current focus on developing machine learning methods to power drug discovery. I have also led teams that develop computational frameworks for genomics data analysis and this led to a deep specialization in the inference and modeling of biological networks. My group now combines machine learning approaches with physical models of key biological processes to make progress on molecular and biomolecular design. MLDD also develops LLMs at Genentech and across the Roche family that power several stages of discovering and developing medicines.
Postdoctoral Mentor
The Postdoc program at Genentech has always been a foundry for innovation in biotech, and I feel quite lucky to be able to participate. Postdoctoral Fellows at Prescient will help us push boundaries in ML, f unify approaches, and generally think big. The postdoc program at Genentech helps comprise our ‘basic science’ core and will also interface with our Frontiers group and other ML focused efforts across the Roche family.