Genentech: Nicholas Charron | Senior Machine Learning Scientist, AI for Drug Discovery, Small Molecule Drug Discovery

Scientists / Our Scientists

I joined Genentech in March 2026 as a computational biophysicist and AI scientist interested in applications of deep learning to molecular dynamics and ensemble analysis for proteins and small drug-like molecules. I have experience in x-ray diffraction, spectroscopy, software development, HPC administration, and I am always excited about building modular software and models that have lasting impacts in drug discovery.

Featured Publication

Navigating protein landscapes with a machine-learned transferable coarse-grained model.

Nat. Chem. 17, 1284–1292 (2025).

Charron, N.E., Bonneau, K., Pasos-Trejo, A.S. et al.

View Abstract

At Genentech, I work with the Small Molecule Drug Discovery (SMDD) team to develop and validate machine learning models for complementing and accelerating screening for potential drug candidates.

Rice University, PhD in Physics – 2023
Rice University, MSc in Physics – 2018
Boston University, B.A. in Physics – 2015

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Nicholas Charron

Senior Machine Learning Scientist, AI for Drug Discovery, Small Molecule Drug Discovery

Featured Publication

Navigating protein landscapes with a machine-learned transferable coarse-grained model.