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.
Economic Opportunity for All: Meet the Activate AI Challenge Awardees
Wednesday, May 20 at 9am ET / 2pm GMT / 9pm SGT
data.org and Zoom’s Activate AI Challenge received 500 applications from 76 countries, each proposing innovative solutions at the intersection of AI and economic opportunity for a resilient future. On May 20, we’re introducing six remarkable awardees and exploring what set their approaches apart. These projects demonstrate breakthrough innovation, impactful use of AI, and strong potential for scale—qualities…