Analytics — CELASA — Data Science — Mathematics — Health Informatics
David  Uminsky

David Uminsky

Assistant Professor

David's research interests are in applying mathematics to unsupervised machine learning and data clustering methods. He is specifically interested in developing new provably convergent and highly accurate algorithms to perform unsupervised data clustering. He is also the founding director of the Bachelor's program in Data Science at USF. Before joining USF he was a combined NSF and UC President's Fellow at UCLA. He holds a Ph.D. in Mathematics from Boston University and a B.S. in Mathematics from Harvey Mudd College.

Web page: duminsky/

Office Hours: T 9:30-11:35am; W 2:05-3:00pm


Ph.D., Mathematics, Boston University

Courses Offered
  • Math 202 - Linear Algebra & Probability
  • Math 345 - Mathematical Modelling