Colin Pawlowski is an accomplished data science leader with 11 years of experience, currently directing Data Science at Anumana after leading data science efforts at nference. He brings deep technical rigor from a PhD in Operations Research at MIT, where he developed fast ML algorithms for noisy and missing data with applications in personalized medicine and large-scale EHR/genomics. At nference he bridged research and product, contributing to NLP platform development and client-facing AI integrations for life sciences, demonstrating both hands-on modeling and strategic partnership skills. Based in Cambridge, MA, Colin blends academic depth with startup agility—able to drive production-ready ML systems while translating complex clinical questions into measurable outcomes. An underappreciated strength is his history of building tooling (an R wrapper for APIs and research platforms) that accelerates team impact beyond individual models.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD) Operations Research, Doctor of Philosophy (PhD) Operations Research at Massachusetts Institute of Technology
Bachelor of Science (BS) Mathematics, Bachelor of Science (BS) Mathematics at Yale University
Contributions:52 pushes, 1 branch in 1 year 2 months
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