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.
Is the Climate Ecosystem AI-ready?
This event occurred on Tuesday, October 13 at 2pm IST
As AI percolates through our lives, are ESOs, climate startups, clean tech SIOs, think tanks, and governments ready to meaningfully integrate AI into their workflows? What are the data foundations required by organizations to build their AI readiness? Who actually does the Climate x AI work in these organizations? What…
