Summary
Maxwell Zimmerman is a Scientist II with nine years of experience applying machine learning and computational biophysics to guide the design of novel proteins and therapeutics. He led efforts at Washington University to build and run one of the largest distributed computing platforms for molecular simulation, driving discoveries about SARS-CoV-2 infection and identifying over 50 cryptic pockets using ML methods he developed. His work spans algorithm development, enhanced sampling techniques that cut compute time by an order of magnitude, cryoEM interpretation, and software for statistical mapping of protein conformational ensembles. Now at Generate Biomedicines, he combines deep academic training (PhD in Computational and Molecular Biophysics) with hands-on engineering to translate simulation-driven insights into drug design. An underappreciated strength is his track record of turning complex physics and experimental data into scalable, production-ready ML tools that bridge academia and industry.
9 years of coding experience
9 years of employment as a software developer
Bachelor's degree, Chemical Engineering, Bachelor's degree, Chemical Engineering at Florida State University
Doctor of Philosophy (PhD), Computational and Molecular Biophysics, Doctor of Philosophy (PhD), Computational and Molecular Biophysics at Washington University in St. Louis
Chinese, English