Skip to main content

School of Medicine & Dentistry / About the School / Dean's Lecture Series


Dean's Lecture Series

The Dean’s Lecture Series is intended to showcase high caliber research and high impact topics in clinical medicine and related biomedical fields.  The presentations will be targeted to a broad audience of investigators and trainees from multiple areas of clinical medicine, public health, and life science research, as well as for interested members of the university community and the public at large.  The George D. and Freida B. Abraham Foundation are sponsoring this series.

 Upcoming Lecture

Atul J. Butte, M.D., Ph.D.

Priscilla Chan and Mark Zuckerberg Distinguished Professor                                                                       Departments of Pediatrics, Bioengineering and Therapeutics Sciences and Epidemiology and Biostatistics         Director of Bakar Computational Health Sciences Institute                                                                                           Chief Data Scientist, University of California Health System, San Francisco,CA             

                  Precisely Practicing Medicine from 700 Trillion Points of DatA

There is an urgent need to take what we have learned in our new data-driven era of medicine, and use it to create a new system of precision medicine, delivering the best, safest, cost-effective preventative or therapeutic intervention at the right time, for the right patients.  Dr. Butte’s teams at the University of California build and apply tools that convert trillions of points of molecular, clinical, and epidemiological data -- measured by researchers and clinicians over the past decade and now commonly termed “big data” -- into diagnostics, therapeutics, and new insights into disease.  Dr. Butte, a computer scientist and pediatrician, will highlight his center’s recent work on integrating electronic health records data from over 8 million patients across the entire University of California, and how analytics on this “real world data” can lead to new evidence for drug efficacy, new savings from better medication choices, and new methods to teach intelligence – real and artificial – to more precisely practice medicine.

                                                                 Monday, April 10, 2023 at 2:15PM     

                                                                 Auditorium of Class '62 (G-9425)


                                                                         Welcome by Mark Taubman, M.D.
                                                                         Introduction by Thomas Mariani, Ph.D.