About Me

Hello there! I’m a 5th year Ph.D. candidate in Operations Research at Stanford University MS&E, where I’m very fortunate to be advised by Itai Ashlagi. My research interests are in the design and analysis of marketplace algorithms. In particular, my PhD works focus on the interplay of learning and strategic incentives in waitlist mechanisms. Broadly speaking, I use tools from mechanism design, optimization, and machine learning.

In Fall 2022, I will be joining Uber as an Applied Scientist. I have previously interned at Meta and Lyft.


  • Ph.D. Operations Research, Department of Management Science and Engineering, Stanford University. [expected 2022]
  • B.S. Operations Research, Department of Industrial Engineering and Operations Research, Columbia University. [2017]


Counterbalancing Learning and Strategic Incentives in Allocation Markets

NeurIPS 2021 [link]
  • with Faidra Monachou, Moran Koren and Itai Ashlagi
  • Preliminary version presented at ACM EC 2021 Workshop on Operations of People-Centric Systems
  • Preliminary version presented at INFORMS 2021 Annual Meeting

Observational Learning and Dynamic Incentives in First-come-first-served Waitlist Mechanisms

Working paper
  • with Moran Koren and Itai Ashlagi

Machine Learning for Deceased Donor Kidney Allocation

Working paper

Asynchronous ADRs: Overnight vs Intraday Returns and Trading Strategies

Studies in Economics and Finance [link]
  • From undergraduate research under guidance of Prof. Tim Leung

Honors and Awards

  • Jerome K. Doolan Fellowship (2020, 2021)
  • Stanford MS&E Fellowship (2017-2019)
  • Summa Cum Laude, Columbia University (2017)
  • Stephen D. Guarino Memorial Award, Columbia University IEOR (2017)


I was a teaching assistant for the following courses:

Stanford 🌲

  • Incentives and Algorithms (MS&E 230), Spring 2020.
  • Introduction to Operations Management (MS&E 260), Fall 2020.
  • Probabilistic Analysis (MS&E 220), Summer 2019, Fall 2019.

Columbia 🦁

  • Introduction to Probability and Statistics (IEOR 4150), Fall 2016.