About

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I’m a second year statistics doctoral candidate at The Wharton School, University of Pennsylvania. Although my degree is in statistics, I am in the uniquely fortunate position of being advised by Michael Kearns and Aaron Roth, both housed in the University of Pennsylvania Computer Science Department. In 2017 I won a National Science Foundation Graduate Fellowship.

I graduated from Harvard in May 2015, with a degree in mathematics. My research is in theoretical machine learning, specifically focusing on technical solutions in algorithmic fairness. I recently wrote a non-technical opinion piece on fairness in machine learning for Wired. I am also interested in the interaction between machine learning, adaptive data analysis & differential privacy. Find more on the Research tab.

In Fall 2016, I was the head TA for Stat 613, a regression analysis class for Wharton MBA students. In my spare time I play a lot of squash.

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