Summary
Gregory Boggy is a computational biologist with nine years of experience building practical, first-principles tools to solve complex biological and quantitative problems. Based in Portland, he applies a rare blend of wet-lab experience (CRISPR, synthetic biology, gene assembly) and computational rigor from a Ph.D. in Chemical Engineering to drive reproducible bioinformatics and assay automation. At Oregon Health & Science University he translates research needs into scalable software and analysis pipelines, drawing on prior roles at Transcriptic, DNA Software, and data science work at Epistemic AI. He has shipped commercial qPCR analysis products, redesigned lab automation protocols, and led targeted sequencing product design—skills that bridge assay development, software, and laboratory workflows. Colleagues rely on him to turn theoretical models into practical, production-ready solutions that accelerate experimental throughput.
9 years of coding experience
7 years of employment as a software developer
M.S., Bioengineering, M.S., Bioengineering at University of Washington
Ph.D., Chemical Engineering, Ph.D., Chemical Engineering at University of Michigan
University of California, San Diego
English, German