Lorin Crawford is a Principal Researcher at Microsoft with a decade of experience applying machine learning and AI to biomedicine, genetics, and genomics. He blends a strong academic pedigree—a PhD in Statistical Science from Duke and faculty roles as Assistant and Associate Professor of Biostatistics at Brown—with industry research leadership. His work bridges statistical genetics, topological data analysis, and computational molecular biology to extract biological insight from complex genomic data. At Microsoft he leads research translating advanced statistical methods into scalable tools for real-world biomedical problems. Known for combining rigorous theory with applied impact, he often leverages nontraditional mathematical tools (like TDA) to uncover signals missed by standard approaches. Based in Cambridge, MA, he brings both deep domain expertise and a track record of moving ideas from the lab into production-ready research.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Statistical Science, Doctor of Philosophy (Ph.D.) Statistical Science at Duke University
Bachelor of Science (BS) Applied Mathematics, Bachelor of Science (BS) Applied Mathematics at Clark Atlanta University
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