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. For the rest of my PhD I’ll be on a 2017 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 popular article 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 MBAs. In Spring 2015 I was head TA and taught recitation for Stat 430, intro. to probability at Penn. My Erdös number is 4.

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