Summary
Michael Lazear is a director-level computational proteomics scientist and software engineer with a decade of experience building data-intensive platforms for chemical biology and mass spectrometry. He holds a Ph.D. from Scripps Research where he developed a first-of-its-kind function-first chemoproteomics platform that enabled discovery of ligandable protein–protein interactions and first-in-class chemical probes. Equally fluent in wet lab and engineering domains, he has designed 100M-row PostgreSQL-backed microservices in Rust, Haskell, and Python and shipped interactive Typescript frontends for multiplexed proteomics analysis. At Belharra he architected the data infrastructure and novel computational approaches for proteome-wide, photoaffinity probe screening, and now leads computational proteomics at Proxima. He is an avid systems and language hacker with 15+ years programming across Rust, Typescript, C, Python, and SQL, and maintains Sage, a record-setting open-source proteomics search engine focused on speed. Based in California, he combines deep domain expertise in mass spec and chemical biology with production-grade software engineering to accelerate discovery pipelines.
10 years of coding experience
8 years of employment as a software developer
Bachelor's degree Biochemistry, Bachelor's degree Biochemistry at Virginia Tech
Doctor of Philosophy (Ph.D.) Chemical Biology, Doctor of Philosophy (Ph.D.) Chemical Biology at Scripps Research