I'm a third year Ph.D. candidate studying Machine Learning at the University of Pennsylvania. I'm very lucky to be under the supervision of Michael Kearns and Aaron Roth and supported by a National Science Foundation Graduate Fellowship. I graduated with an honors degree in mathematics from Harvard in 2015, where I completed Math 55. My primary interests are in theoretical computer science and machine learning. Specifically in incorporating ethical notions of fairness and privacy into tools for data analysis and artificial intelligence. This works fits into the growing fields of algorithmic fairness and differential privacy. In late 2016 I co-founded Welligence, a venture-backed company using statistics + machine learning to improve energy research. I recently wrote a popular article on the issue of bias in machine learning for Wired Magazine.