Nobel Laureate Saul Perlmutter, Director of the Berkeley Institute for Data Science, and Michael Lu, Dean of the Berkeley School of Public Health, will host and moderate a roundtable discussion with Berkeley researchers who are mobilizing computing and data science for COVID-19 response and recovery, from helping local public health officials track the pandemic to predicting and addressing its impacts on employment and elections.
This video event will feature Berkeley experts who are at the center of these critical efforts, which include 1) Developing tools to enable local health departments to predict hospital ICU needs and plan interventions, 2) Finding better and faster ways to get critical supplies to healthcare workers and citizens, and 3) Predicting and addressing impacts on employment and elections.
Featured speakers include:
- Jennifer Chayes, Associate Provost, Division of Computing, Data Science, and Society, and Dean, School of Information
- Saul Perlmutter, Director, Berkeley Institute for Data Science, 2011 Nobel Laureate in Physics
- Michael Lu, Dean, School of Public Health
- Maya Petersen, Associate Professor, Epidemiology and Biostatistics, School of Public Health
- Michael Eisen, Howard Hughes Medical Institute Investigator and Professor of Genetics, Genomics and Development, Molecular & Cell Biology
- Sandrine Dudoit, Professor and Chair, Department of Statistics
- Max Shen, Chancellor's Professor and Department Chair, Department of Industrial Engineering and Operations Research
- Emmanuel Saez, Professor of Economics and Director, Center for Equitable Growth
- Henry Brady, Dean and Professor of Political Science and Public Policy
- Kathy Yelick, Associate Dean for Research, Division of Computing, Data Science, and Society, Professor of Electrical Engineering and Computer Sciences
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