About

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I’m a third year statistics doctoral candidate at The Wharton School, University of Pennsylvania. I graduated from Harvard in 2015 with a degree in mathematics. I am in the fortunate position of being advised by Michael Kearns and Aaron Roth, both housed in the University of Pennsylvania Computer Science Department. As of Fall 2017 I’m on a NSF Graduate Fellowship.

My research is in theoretical tools for machine learning, specifically focusing on notions of fairness and privacy. I recently wrote an opinion piece on fairness in machine learning for Wired. I also study differential privacy and learning.

My Erdos number is 3. In my spare time I play a lot of squash, and growing up I was a competitive chess player.

 

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