Summary
Michael Turchin is a Principal Scientist in Statistical Genetics based in Cambridge, MA, with over a decade of industry experience and a PhD in Human Genetics from the University of Chicago. He translates large-scale human genomics, multi-omics, and biobank data into actionable target insights, having led genetic prioritization, polygenic risk scoring, and NLP-driven phenotyping for drug discovery across immunology, cardiovascular, and fibrosis programs. At Bristol Myers Squibb he built frameworks to integrate consortium-scale datasets (UKB, FinnGen, Open Targets, Genes & Health) into target reviews and trial stratification strategies. His background blends deep academic training—postdoctoral work at Mount Sinai and Brown—with pragmatic industry delivery, including cataloguing disease genetic landscapes and operationalizing genetics for translational decision-making. Notably, he applies statistical population-genetics rigor to real-world drug target selection, bridging discovery science and clinical strategy.
11 years of coding experience
17 years of employment as a software developer
Bachelor of Science (BSc) Biological Sciences and Animal Science (Dual; Magna Cum Laude), Bachelor of Science (BSc) Biological Sciences and Animal Science (Dual; Magna Cum Laude) at Cornell University
Doctor of Philosophy (PhD) Human Genetics, Doctor of Philosophy (PhD) Human Genetics at University of Chicago