AI-based Cancer Risk Models - Dr. Regina Barzilay
DCEG Office of the Director Seminar
January 13, 2022 | 10:30 AM – 11:30 AM
Online via Zoom https://nih.zoomgov.com/j/1605692562
Regina Barzilay, Ph.D.
Professor, Department of Electrical Engineering and Computer Science;
Artificial Intelligence (AI) Faculty Lead, MIT Abdul Latif Jameel Clinic for Machine Learning in Health
Dr. Barzilay is a School of Engineering Distinguished Professor for AI and Health in the Department of Electrical Engineering and Computer Science, and a member of the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology. She is an AI faculty lead for Jameel Clinic, an MIT center for Machine Learning in Health. Her research interests are in natural language processing and applications of deep learning to chemistry and oncology. Dr. Barzilay is a recipient of various awards including the NSF Career Award, the MIT Technology Review TR-35 Award, Microsoft Faculty Fellowship and several Best Paper Awards at NAACL and ACL.
In 2017, Dr. Barzilay received a MacArthur fellowship, an ACL fellowship and an AAAI fellowship. In 2021, she was awarded the Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity and the UNESCO/Netexplo Award. She received her Ph.D. in computer science from Columbia University, and spent a year as a postdoctoral fellow at Cornell University. Dr. Barzilay received her undergraduate degree from Ben-Gurion University of the Negev, Israel.
Gretchen Gierach, Ph.D., M.P.H., Chief and Senior Investigator, Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI
Amy Berrington de González, D.Phil., Chief and Senior Investigator, Radiation Epidemiology Branch; Senior Advisor for Strategic Activities, Trans-Divisional Research Program; Division of Cancer Epidemiology and Genetics, NCI