Neil Sehgal is a PhD student advised by Professors Sharath Chandra Guntuku and Lyle Ungar. He holds a Master of Engineering in Computational Science and Engineering from Harvard University and an AB magna cum laude in Computer Science from Brown University. His research applies computational and causal inference techniques to better understand issues of bias and health equity.