Join us for the inaugural Data Science Institute Summit, which will feature the UChicago vision for data science and sessions on DSI research programs, such as AI + Science, Internet Access and Equity, and Data and Democracy, as well as education and outreach partnerships with the City Colleges of Chicago, minority-serving institutions, and the 11th Hour Project.
Featured speakers include:
- University of Chicago President Paul Alivisatos, AB’81
- Michael Franklin, DSI Faculty Co-Director, Liew Family Chair of Computer Science
- Dan Nicolae, DSI Faculty Co-Director, Professor and Chair of Statistics
- David Uminsky, DSI Executive Director
- Nick Feamster, DSI Faculty Director of Research, Neubauer Professor of Computer Science
- Rebecca Willett, DSI Faculty Director of AI, Professor of Statistics and Computer Science
- Additional speakers from UChicago and DSI industry, community, and academic partners.
The event will take place from 2:00 – 5:00 in Friedman Hall at the David Rubenstein Forum, 1201 E. 60th Street, Chicago, IL 60637. A full agenda will be posted soon.
For questions, please contact firstname.lastname@example.org.
A celebrated chemist and accomplished administrator, Paul Alivisatos became the 14th president of the University of Chicago on September 1, 2021.
As President of the University, Alivisatos serves as Chair of the Board of Governors of Argonne National Laboratory and Chair of the Board of Directors of Fermi Research Alliance LLC, the operator of Fermi National Accelerator Laboratory. He is also the John D. MacArthur Distinguished Service Professor in the Department of Chemistry, the Pritzker School of Molecular Engineering, and the College.
Michael J. Franklin is the inaugural holder of the Liew Family Chair of Computer Science. An authority on databases, data analytics, data management and distributed systems, he also serves as Senior Advisor to the Provost on Computation and Data Science and is Faculty Co-Director of the Data Science Institute.
My major research interests are in the areas of statistical genetics and mathematical statistics. The problems I am studying are mainly motivated by applications to genetics and genomics studies on common/complex diseases, with a focus on asthma. Statistical genetics problems of interest include likelihood methods for disease mapping, analysis of omics data, networks and systems biology. I am also interested in functional genomics and microbiome. Mathematical statistics topics I am working on include Bayesian and frequentist methods for quantifying information.
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 University of San Francisco (USF). His research interests are in machine learning, signal processing, pattern formation, and dynamical systems.
Nick Feamster is Neubauer Professor of Computer Science and Faculty Director of Research at the Data Science Institute. Feamster designs and deploys network protocols and systems that make the Internet work better, and uses empirical network measurement and machine learning to understand and improve network performance, security, and privacy
Rebecca Willett is a Professor of Statistics and Computer Science at the University of Chicago and Faculty Director of AI at the Data Science Institute. Her research interests include network and imaging science with applications in medical imaging, wireless sensor networks, astronomy, and social networks.