Neil Sehgal, ME is a first-year PhD student in the Department of Computer and Information Science at the University of Pennsylvania School of Engineering and Applied Science. He is advised by Professors Sharath Chandra Guntuku and Lyle Ungar. His research interests involve applying computational and causal inference techniques to non-traditional data sources to better understand issues of bias and health equity. Previously, he obtained a Master of Engineering in Computational Science & Engineering at Harvard University and received an AB magna cum laude in Computer Science at Brown University.
Associate Fellow
Neil Sehgal, ME
- PhD Student, Computer and Information Science, School of Engineering and Applied Science
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