PeopleofSuperintelligence

Researcher

Richard Bonneau

Richard Bonneau is a computational biologist whose work connects machine learning, protein modeling, and AI for drug discovery. He earned a B.A. in biochemistry at Florida State in 1997 and a Ph.D. at the University of Washington in 2001. In 2005, he was the technical lead for the Human Proteome Folding Project at the Institute for Systems Biology, which used Rosetta to predict human protein structures. At NYU and Flatiron, he led research on biological networks and protein-function prediction; his coauthored antibody-generation method won an ICLR Outstanding Paper award in 2024. As of October 2026, he is VP and Global Head of AI for Drug Discovery at Genentech and Roche.

Timeline

  1. 1997–2001

    Biochemistry at Florida State and Washington

    He earns a B.A. in biochemistry at Florida State in 1997 and a Ph.D. in biochemistry at the University of Washington in 2001.

  2. 2005

    The Human Proteome Folding Project

    In 2005, he is the technical lead for the Human Proteome Folding Project at the Institute for Systems Biology. The project uses Rosetta and volunteer computing to predict the structures of human proteins.

  3. September 2019

    Machine learning for protein function

    In September 2019, he directs NYU’s Center for Data Science and leads Systems Biology at the Flatiron Institute. He presents deepNF and machine-learning methods that combine protein sequences, structures, and interaction networks to predict function.

  4. 2024

    Protein Discovery with Discrete Walk-Jump Sampling

    In 2024, he coauthors Protein Discovery with Discrete Walk-Jump Sampling, a generative method for antibody proteins, and receives an ICLR Outstanding Paper award.

  5. As of October 2026

    AI drug discovery at Roche

    As of October 2026, he is VP and Global Head of AI for Drug Discovery at Genentech and Roche.

Sources and credits

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  1. Richard Bonneau math.nyu.edu. Checked 15 October 2026.
  2. UW’s Rosetta software to unlock secrets of many human proteins washington.edu. Checked 15 October 2026.
  3. Colloquium Richard A. Bonneau: Large Scale Machine Learning Methods for Predicting Protein Functions from integration of Sequence, Structure and Networks h-its.org. Checked 15 October 2026.
  4. ICLR 2024 Awards iclr.cc. Checked 15 October 2026.
  5. Protein Discovery with Discrete Walk-Jump Sampling proceedings.iclr.cc. Checked 15 October 2026.
  6. Richard Bonneau - Department of Computational and Systems Biology csb.pitt.edu. Checked 15 October 2026.
  7. AI Drug Discovery & Development Summit 2026 aidrivendrugdevelopment.com. Checked 15 October 2026.