I received my PhD in Machine Learning from Carnegie Mellon University, where I was advised by Nina Balcan and Steven Wu. My thesis was on the interplay between information, incentives, and uncertainty in data-driven decision making. During the PhD, I was supported by the NDSEG Fellowship and selected as a Rising Star in Data Science. I spent two summers at Microsoft Research working with Alex Slivkins, and I was the editor-in-chief of the ML@CMU blog.

Before coming to CMU, I studied computer science and physics at Penn State. In the startup world, I have spent time at Lux Capital, US Innovative Technology, and Vitable Health.

Some other pages I find interesting:

• The Berkeley AI Research blog
• The Matrix Cookbook
• The No Hands Across America homepage
• The SIGBOVIK homepage