About me

I am a postdoc in Computer Science at Columbia University hosted by Tim Roughgarden. Specifically, I am an NSF Mathematical Sciences Postdoctoral Research Fellow and a Data Science Institute Postdoctoral Fellow.

My research interests are primarily in algorithmic mechanism design and approximation algorithms, including:

(multi-parameter) revenue maximization and analysis, particularly in "interdimensional" settings that lie between single-dimensional and heterogeneous.
models with varying behavioral or informational assumptions, such as interdependent, risk-averse, prior-independent, etc.

In 2016, I shifted my attention to using these mathematical concepts to aid society and improve access to opportunity, co-founding the Mechanism Design for Social Good initiative in the process. Since then, my research has also focused on:

furthering the mathematical foundations of "mechanism design for social good," e.g. gains from trade and residual surplus.
domain specific questions e.g. in healthcare, climate change, and privacy.

See my publications on my research page.

I received my PhD in Computer Science & Engineering at the University of Washington, where I was very fortunate to be advised by Anna Karlin. During my PhD, I was very generously supported by a 2017-19 Microsoft Research PhD Fellowship and a 2016-17 Google Anita Borg Scholarship.

Before that, I attended Oberlin College where I received a B.A. in Mathematics and minored in Computer Science. I also studied at Budapest Semesters in Mathematics. My Curriculum Vitae can be found here.

Upcoming and Recent News:

I am on the academic job market looking for a faculty position. Here are my research, teaching, and diversity statements.

Jan 11: My awesome co-author Mingfei Zhao is giving a talk on our paper "On Multi-Dimensional Gains from Trade Maximization" in Session CP19 at SODA '21.
The call for papers for both EC '21 and FORC '21 are out, conferences for which I am happy to be serving on the PC. Submit your papers by Feb 12 and Feb 15 respectively!

December:
- I reprised my award-winning talk on Optimal Mechanism Design for Single-Minded Agents at WINE 2020.
- I spoke to the Columbia DSI Data & Society Council about my work on Mechanism Design for Social Good.
- I spoke at the 100 Brilliant Women in AI Ethics Summit on Careers in AI Ethics. [ video ]
- I spoke in the Israel Algorithmic Game Theory Seminar on "On Multi-Dimensional Gains from Trade Maximization." [ video ]
November:
- I spoke at INFORMS Annual Meeting about Maximizing Gains From Trade in Two-Sided Markets. [ video ]
- I sat on a panel on Racism and Bias in Research Methods in Columbia's Psychology Department.
October:
- I spoke in University of Maryland's CATS lecture series about Maximizing Gains From Trade in Two-Sided Markets. [ video ]
- I spoke in NYU Tandon's CS Department Seminar on October 16 about Mechanism Design for Social Good. [ video ]
September:
- I was awarded the EC 2020 Best Presentation by a Student or Postdoctoral Researcher for my talk on "Optimal Mechanism Design for Single-Minded Agents." [ video ]
- New paper "On Multi-Dimensional Gains from Trade Maximization" accepted to SODA 2021 with Yang Cai, Steven Ma, and Mingfei Zhao. [ paper ]
- I spoke in WPI's CS Department Colloquium on September 18 about Mechanism Design for Social Good.
- I spoke in Harvard's TOC Seminar on September 21 about Maximizing Gains From Trade in Two-Sided Markets.
August:
- I'm proud to have served on the steering committee for the 4th Workshop on Mechanism Design for Social Good (MD4SG), which was a truly incredible event! Check out the videos!
- New aggregator twitter account for EconCS paper and blog feeds. [ link ]

July:
- New article in SIGecom Exchanges about the YoungEC '19 workshop featuring up-and-coming junior researchers. [ article ]
- I gave a talk at EC '20 on "Optimal Mechanism Design for Single-Minded Agents." [ video ]
- I surveyed my work and open problems in mechanism design for social good at the DSI and Data for Good Scholars seminar series.