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.
- 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.
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.