Neil Sehgal is a first year PhD student advised by Professors Sharath Chandra Guntuku and Lyle Ungar. 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. His research interested involve using computational and causal inference techniques to better understand issues of bias and health equity.