I'm a third year Ph.D. candidate in the Statistics Department at the Wharton School, University of Pennsylvania. I'm primarily housed in the Computer Science Department, where I am advised by Michael Kearns and Aaron Roth and supported by a National Science Foundation Graduate Fellowship. I graduated with a 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 2017 I co-founded Welligence, a small start-up 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.



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