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

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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2020 : Barbara Engelhardt -- Invited Talk »
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2020 : Q&A - Arun Narayanaswamy »
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2020 : Q&A - Sendhil Mullainathan »
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2020 : Invited Talk - Sendhil Mullainathan, Machine Learning for Scientific Discovery (recorded) »
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2019 Workshop: ICML 2019 Workshop on Computational Biology »
Donna Pe'er · Sandhya Prabhakaran · Elham Azizi · Abdoulaye Baniré Diallo · Anshul Kundaje · Barbara Engelhardt · Wajdi Dhifli · Engelbert MEPHU NGUIFO · Wesley Tansey · Julia Vogt · Jennifer Listgarten · Cassandra Burdziak · Workshop CompBio -
2019 Poster: Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography »
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2019 Oral: Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography »
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2017 Workshop: Workshop on Computational Biology »
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