David Uminsky's research interests are in applied mathematics. He is interested in unsupervised machine learning, data clustering, algebraic signal processing, as well as pattern formation, dynamical systems and fluids. David was selected in 2015 by the National Academy of Sciences (NAS) as a Kavli Frontiers of Science Fellow. Each year, 100 researchers under the age of 45 are selected by the academy, and the 20% of the current NAS were previous Kavli Fellows. He is also the founding director of the Bachelor's program in Data Science at University of San Francisco. Before joining USF, he was a combined National Science Foundation and UC President's Fellow at UCLA, where he was awarded the Chancellor's Award for post-doctoral research. This award is given to approximately top 20 post-docs out of over a thousand who qualify for consideration. He holds a PhD in Mathematics from Boston University and a BS in Mathematics from Harvey Mudd College.
- Director, Data Institute
- Founding Director, BSc Data Science, USF
- PhD, Mathematics, Boston University
- BS, Mathematics, Harvey Mudd College
- NSF and UC President's Fellow, UCLA
- Applying mathematics to unsupervised machine learning and data clustering methods
- Developing new provably convergent and highly accurate algorithms to perform unsupervised data clustering