Summary
Steven Lewis is a Computational Data Manager with 11 years of experience translating deep biophysics expertise into production-ready computational tools for protein design and immunogenicity prediction. Based in Chapel Hill, he has driven Cyrus Biotechnology’s shift from physics-based modeling to AI-first deimmunization workflows, architecting ML pipelines that normalized 10,000+ yeast-display measurements into robust training datasets. He adapts and extends open-source protein language models (e.g., ThermoMPNN) on proprietary data to predict peptide–MHCII liabilities, pairing domain knowledge with pragmatic software engineering. Previously he stabilized and productionized the massive Rosetta codebase, built cloud microservice backends, and designed API features that let customers embed protein design into their stacks. Known for turning vague scientific requests into deliverable specifications, he instituted feasibility protocols that ensured 100% delivery on approved projects within budget bounds. A PhD-trained biophysicist who codes fluently in C++ and Python, he thrives at the intersection of wet-lab insight and scalable ML systems.
11 years of coding experience
7 years of employment as a software developer
HS, HS at Maggie L Walker Governor's School for Government and International Studies
Doctor of Philosophy (PhD) Biochemistry Biophysics and Molecular Biology, Doctor of Philosophy (PhD) Biochemistry Biophysics and Molecular Biology at The University of North Carolina at Chapel Hill
Bachelor of Science (BS) Chemistry Biology, Bachelor of Science (BS) Chemistry Biology at William & Mary