Summary
Bryan Thornlow is a Principal Bioinformatics Scientist based in Cambridge, MA with nine years of experience applying computational genomics, RNA‑seq, epigenetics, and proteomics to drug discovery in both industry and academia. He builds robust, user‑friendly pipelines and SQL-backed data platforms that accelerate target identification, and has a track record of integrating diverse data types and machine learning to reveal novel therapeutic hypotheses. At companies including ROME Therapeutics and Chroma Medicine he developed high-sensitivity pipelines and a curated ROMEMap database to interrogate repetitive elements and immunopeptidomes at scale. His PhD work combined comparative genomics, custom C++ simulators, and ML to uncover transcription-associated mutation patterns and predict tRNA expression across species—an example of his ability to translate deep computational methods into actionable biological insight. Notably, he has balanced hands-on pipeline engineering with patent-worthy target discovery and production-ready visualization tools that bridge research and program teams.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.), Biology/Biological Sciences, General, Bachelor of Science (B.S.), Biology/Biological Sciences, General at Cornell University
University of California Santa Cruz