About Me

I'm a fourth year PhD student in the Computing and Mathematical Sciences department at Caltech, where I am advised by Katrina Ligett. Before coming to Caltech, I was a PhD student at Northwestern in the Theory and Economics group of the EECS department. I have been fortunate to also spend time as a visiting PhD student at Caltech with Katrina Ligett, and at Penn with Aaron Roth and Michael Kearns, and as a summer intern at Technicolor Research Center with Stratis Ioannidis. My research interests lie in the intersection of computer science and economics, specifically algorithmic game theory and data privacy.

I received my undergraduate degrees in mathematics and economics from USC. While there, I also worked with David Kempe on social networks.

Research Interests


Accuracy for Sale: Aggregating Data with a Variance Constraint, with Katrina Ligett, Aaron Roth, Zhiwei Steven Wu, and Juba Ziani. In submission.

Privacy and Truthful Equilibrium Selection for Aggregative Games, with Michael Kearns, Aaron Roth, and Zhiwei Steven Wu. In submission.

Online Learning and Profit Maximization from Revealed Preferences, with Kareem Amin, Lili Dworkin, Michael Kearns, and Aaron Roth. In submission.

Probability 1 Computation with Chemical Reaction Networks, with Dave Doty and David Soloveichik. To appear, DNA '14.

The Empirical Implications of Privacy-Aware Choice, with Federico Echenique and Adam Wierman. EC '14.

Speed Faults in Computation by Chemical Reaction Networks, with Ho-Lin Chen, Dave Doty, and David Soloveichik. To appear, DISC '14. Best paper award

Individual Preferences for Privacy, with Ronen Gradwohl. Preliminary version presented at Workshop on Privacy and Economics, 2013. (Abstract only)

Influence Maximization in Social Networks When Negative Opinions May Emerge and Propagate, with Wei Chen, Alex Collins, Te Ke, Zhenming Liu, David Rincon, Xiaorui Sun, Yajun Wang, Wei Wei, and Yifei Yuan. SDM'11. (Preliminary version published as a technical report)