Summary
Peter Zwart is a Staff Scientist based in Berkeley with 21 years of experience applying computational biophysics, data science, and AI to accelerate experimental discovery. At Berkeley Lab he blends classical numerical methods, high-performance computing, and modern machine learning to automate data analysis pipelines and solve complex experimental challenges. Trained as a crystallographer (PhD) with a chemistry background, he uniquely bridges wet-lab insight and computational rigor to make models directly useful for experimentalists. Known for pragmatic, results-centered solutions, he focuses on turning large, messy scientific datasets into reproducible, high-impact outcomes.
21 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Crystallography, Doctor of Philosophy - PhD, Crystallography at University of Amsterdam & EMBL-Hamburg
Master's degree, Chemistry, Master's degree, Chemistry at University of Amsterdam
Dutch, English, German