Summary
Michael Mysinger is a Principal Scientist based in the San Francisco Bay Area with 11 years of experience applying computation, data and machine learning to predict molecular properties and accelerate drug discovery. He has led and built predictive modeling teams and tools at Atomwise and SeaChange Pharmaceuticals, translating research-grade models into practical solutions for industry use. With a strong interdisciplinary foundation—PhD in Drug Development Sciences, dual master's from Stanford in CS and Chemical Engineering, and a BS from Johns Hopkins—he blends algorithmic rigor with domain chemistry expertise. Colleagues describe him as a problem-solver who mentors teams while constantly learning, and he has a track record of turning future-focused computational models into actionable decisions for drug programs. An underappreciated strength is his ability to bridge deep scientific inquiry with scalable engineering practices, making complex predictions usable across organizations.
11 years of coding experience
7 years of employment as a software developer
Johns Hopkins University
Ph.D., Drug Development Sciences, Ph.D., Drug Development Sciences at University of California, San Francisco
M.S., Computer Science, M.S., Computer Science at Stanford University