I am an assistant professor of computer science at the Jacobs Technion-Cornell Institute at Cornell Tech and the Technion and a computer science field member at Cornell University, with a secondary joint appointment as an Assistant Professor of Population Health Sciences at Weill Cornell Medical College. I develop data science and machine learning methods to study two broad areas: inequality and healthcare. For recent/representative publications, please see my papers on inequality in pain (Nature Medicine, 2021); inequality in policing (Nature Human Behaviour, 2020); and inequality in COVID-19 (Nature, 2020). Here's my full CV and list of publications.
Previously, I was a senior researcher at Microsoft Research New England and a PhD student in Jure Leskovec's lab at Stanford, supported by Hertz and NDSEG Fellowships. Before my PhD, I did a master's in statistics at Oxford on a Rhodes Scholarship, and before that I spent a year as a data scientist at 23andMe and Coursera. I write a statistics blog, Obsession with Regression, and have also written for The New York Times, FiveThirtyEight, The Atlantic, The Washington Post, Wired, Times Higher Education, and various other publications. I always like hearing from people with cool ideas for things to do with data: shoot me an email at firstname.lastname@example.org!