COVID-19 — Creating Informed Responses: Berkeley’s Computing and Data Science In Action

COVID-19 Resources

Speaker(s)

Saul Perlmutter

Faculty Director, Berkeley Institute for Data Science, Director, Berkeley Center for Cosmological Physics, Professor, Department of Physics, UC Berkeley, 2011 Nobel Laureate in Physics

Saul Perlmutter is a 2011 Nobel Laureate, sharing the prize in Physics for the discovery of the accelerating expansion of the Universe.   He is the director of BIDS, a professor of physics, where he holds the Franklin W. and Karen Weber Dabby Chair, and a senior scientist at Lawrence Berkeley National Laboratory.  He is the leader of the international Supernova Cosmology Project, and executive director of the Berkeley Center for Cosmological Physics. His undergraduate degree was from Harvard and his PhD from UC Berkeley.  In addition to other awards and honors, he is a member of the National Academy of Sciences and the American Academy of Arts and Sciences and a fellow of the American Physical Society and the American Association for the Advancement of Science.  Perlmutter has also written popular articles, and has appeared in numerous PBS, Discovery Channel, and BBC documentaries.  His interest in teaching  scientific-style critical thinking for scientists and non-scientists alike led to Berkeley courses on Sense and Sensibility and Science and Physics & Music.

Michael C. Lu, MD, MS, MPH

Dean, Berkeley School of Public Health

Moderator Michael C. Lu, MD, MS, MPH, is the Dean of Berkeley Public Health. Dr. Lu was formerly the Director of the federal Maternal and Child Health Bureau in the Obama Administration, and recipient of the Hubert H Humphrey Award for Service to America. A graduate of the UC Berkeley-UCSF Joint Medical Program, he has been voted one of the Best Doctors in America since 2005.

Jennifer Chayes

Associate Provost, Division of Computing, Data Science, and Society; and Dean, School of Information; UC Berkeley

Jennifer Chayes is the Associate Provost who leads UC Berkeley's Division of Computing, Data Science, and Society, and the Dean of the School of Information. She is a member of the National Academy of Sciences, and the American Academy of Arts and Sciences. Her research areas include biomedicine applications and epidemiological modeling.