Convergence Seminar
Richard Bonneau, PhD
Richard Bonneau combines biophysics and computational methods to develop innovative approaches for biomolecular design and drug discovery. His background is in computational structural biology, with a current focus on advancing machine learning methods that accelerate drug discovery. He has also led teams developing computational frameworks for genomics data analysis, resulting in deep expertise in the inference and modeling of biological networks.
Today, his group integrates machine learning approaches with physics-based models of key biological processes to drive progress in molecular and biomolecular design. In addition, MLDD develops large language models (LLMs) at Genentech and across the Roche organization that support multiple stages of the medicine discovery and development pipeline.
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The Convergence Seminar is organized by Gladstone’s Institute for Data Science and Biotechnology. This seminar series brings together scientists from varying disciplines to solve complex scientific questions and accelerate the path to cures.
Diversity, Equity, and Inclusion
At Gladstone, we are committed to providing events and professional development activities that resonate with our community’s diverse members. Our goal is to develop creative programming that encompasses a wide variety of ideas and perspectives to inspire, educate, and engage with everyone within our walls.
We want to effect positive change through our events and activities by providing a platform for discussions on important topics related to increasing diversity and inclusiveness in the sciences.