Berkeley Conversations: Reopening and reimagining after COVID-19

Lecture

Speaker(s)

Maya Petersen

Associate Professor, Divisions of Biostatistics and Epidemiology, School of Public Health, UC Berkeley, Co-Chair, Graduate Group in Biostatistics, School of Public Health, UC Berkeley, Co-Director, Berkeley Computational Social Science Training Program (NIH), Co-Director, Computational Precision Health, Faculty, Center for Targeted Machine Learning and Causal Inference, BIDS Faculty Affiliate

Maya Petersen is Associate Professor of Biostatistics and Chair of the Division of Biostatistics at the UC Berkeley School of Public Health. Dr. Petersen’s methodological research focuses on the development and application of novel causal inference methods to problems in health, with an emphasis on longitudinal data and adaptive treatment strategies (dynamic regimes), machine learning methods, and study design and analytic strategies for impact evaluation. Dr. Petersen’s applied work focuses on developing and evaluating improved HIV prevention and care strategies in resource-limited settings. She serves as MPI (with Dr. Diane Havlir and Dr. Moses Kamya) for the Sustainable East Africa Research in Community Health (SEARCH) consortium, and co-leads (with Profs. Mark van der Lan and Alan Hubbard) the Berkeley SPH Center for Targeted Learning.

Monday, October 12, 2020

Live Webcast 
Berkeley Conversations: Reopening and reimagining after COVID-19 
Date: Monday, October 12, 2020 
Time: 4:00-5:30 PM Pacific

What measures can be put into place to make sure it’s safe for all Americans to get back to school, work, and public spaces? Will there really be a vaccine ready by November? When there is a vaccine, who’ll get it first and how long will it take to achieve herd immunity? How can cutting-edge tools like machine learning and artificial intelligence be used to speed the discovery of new drugs? What will it take to create a global early warning system that allows early curtailment of the next pandemic?

As part of this Berkeley Conversations live webcast, the Berkeley School of Public Health presents Dean Michael C. Lu, MD, MS, MPH, moderating a panel of experts in epidemiology, infectious diseases, vaccinology, biostatistics, and genome research to answer questions about how we can re-open safely and reimagine how we will tackle future pandemics. Distinguished panelists include Michael Marletta, PhD, UC Berkeley College of Chemistry professor of chemistry and molecular and cell biology and CH and Annie Li Chair in the Molecular Biology of Diseases; Maya Petersen, MD, PhD, UC Berkeley School of Public Health associate professor of epidemiology and biostatistics and chair of the Division of Biostatistics; Arthur Reingold, MD, UC Berkeley School of Public Health professor of epidemiology and chair of the Division of Epidemiology; John Swartzberg, MD, FACP, UC Berkeley School of Public Health clinical professor emeritus, Infectious Diseases and Vaccinology; and Fyodor Urnov, PhD, UC Berkeley professor of molecular and cell biology, scientific director of technology and translation at the Innovative Genomics Institute.

Artificial Intelligence, COVID-19, Machine Learning

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