Summary
David Uminsky is an interdisciplinary data science leader and researcher who directs the University of Chicago Data Science Institute, bringing nearly a decade of senior leadership in academia and centers for applied data science. With a PhD in Mathematics from Boston University and a background as an NSF postdoc, he combines rigorous theoretical work in learning theory, nonlocal particle models, and fluid dynamics with practical program building and partnership development. He has led graduate programs and institutes in the Bay Area and Chicago, translating advanced math into interdisciplinary curricula, research initiatives, and industry collaborations. Known for fostering diverse, inclusive data science communities, he balances administrative strategy with active research and teaching. Despite his administrative scope, he remains hands-on in developing novel supervised and unsupervised learning methods that bridge theory and real-world applications.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS) Mathematics, Bachelor of Science (BS) Mathematics at Harvey Mudd College
Doctor of Philosophy (Ph.D.) Mathematics, Doctor of Philosophy (Ph.D.) Mathematics at Boston University
Spanish