David Uminsky joined the University of Chicago in September 2020 as a senior research associate and Executive Director of the Data Science Institute. He was previously an associate professor of Mathematics and Executive Director of the Data Institute at the University of San Francisco (USF). His research interests are in machine learning, signal processing, pattern formation, and dynamical systems.
David is an associate editor of the Harvard Data Science Review and was selected in 2015 by the National Academy of Sciences as a Kavli Frontiers of Science Fellow. He is also the founding Director of the BS in Data Science at USF and served as Director of the MS in Data Science program from 2014 to 2019. During the summer of 2018, David served as the Director of Research for the Mathematical Science Research Institute Undergrad Program on the topic of Mathematical Data Science.
Before joining USF he was a combined NSF and UC President’s Fellow at UCLA, where he was awarded the Chancellor’s Award for outstanding postdoctoral research. He holds a Ph.D. in Mathematics from Boston University and a BS in Mathematics from Harvey Mudd College.
AI Skilling for Nonprofit Excellence
January 31, 2024 2pm PST
Nonprofits are key to expanding opportunity everywhere. Leveraging incredible problem-solving strategies, community partnerships, and sheer hustle, this sector addresses some of the world’s greatest challenges. Today, with AI, nonprofits have the potential to transform nearly every aspect of their work from small tasks to large scale program impact. Themed “AI for…