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Panel Discussion
Subhashini Venugopalan · Eun-Ah Kim · Barbara Engelhardt · Sendhil Mullainathan · Arunachalam Narayanaswamy · Katherine Bouman

Fri Jul 17 11:50 AM -- 01:05 PM (PDT) @
in ML Interpretability for Scientific Discovery »

Author Information

Subhashini Venugopalan (Google)
Eun-Ah Kim (Cornell University)
Barbara Engelhardt (Princeton University)
Barbara Engelhardt

Barbara E. Engelhardt, an associate professor, joined the Princeton Computer Science Department in 2014 from Duke University, where she had been an assistant professor in Biostatistics and Bioinformatics and Statistical Sciences. She graduated from Stanford University and received her Ph.D. from the University of California, Berkeley, advised by Professor Michael Jordan. She did postdoctoral research at the University of Chicago, working with Professor Matthew Stephens, and three years at Duke University as an assistant professor. Interspersed among her academic experiences, she spent two years working at the Jet Propulsion Laboratory, a summer at Google Research, and a year at 23andMe, a DNA ancestry service. Professor Engelhardt received an NSF Graduate Research Fellowship, the Google Anita Borg Memorial Scholarship, and the Walter M. Fitch Prize from the Society for Molecular Biology and Evolution. As a faculty member, she received the NIH NHGRI K99/R00 Pathway to Independence Award, a Sloan Faculty Fellowship, and an NSF CAREER Award. Professor Engelhardt’s research interests involve developing statistical models and methods for the analysis of high-dimensional biomedical data, with a goal of understanding the underlying biological mechanisms of complex phenotypes and human disease.

Sendhil Mullainathan (University of Chicago)
Arunachalam Narayanaswamy (Google Inc.)
Katherine Bouman (California Institute of Technology)

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