About

Hi! I'm currently a second year Computer Science PhD student at the University of Pennsylvania and am advised by Lyle Ungar and Sharath Chandra Guntuku. I also consult for the World Bank's Development Impact Edutainment Program. I am primarily interested in using computational and causal inference techniques to better understand issues of bias and health equity. More than anything, I'm excited by research that can help inform public policy. My work has appeared in The New York Times, CNN, and The Washington Post, and has been cited by the Ohio governor, Kamala Harris, and Elizabeth Warren.

You can reach me at: nsehgal at upenn.edu

CV

Previously, I obtained a Master's of Engineering in Computational Science & Engineering at Harvard University. I also worked part time on the HealthMap Computational Epidemiology team at Boston Children's Hospital and was advised by John Brownstein and Benjamin Rader. Before that, I recieved an AB magna cum laude in computer science at Brown University, and spent summers at Reddit, Microsoft, and Case Western's Center of Computational Imaging and Personalized Diagnostics.

Selected Publications

More papers can be found on my Google Scholar or CV

News/Policy Coverage

Podcast/Radio Appearances