Selected Publications

(2023). Platform Disintermediation: Information Effects and Pricing Remedies. Major Revision, Management Science. SSRN
(2023). Optimal Subscriptions Ridesharing Platforms. In Preparation.
(2023). A Rare Glimpse of Tracking Fake Reviews. Communications of the ACM.
(2022). Learning Product Rankings Robust to Fake Users. Operations Research.
(2021). Learning to Rank an Assortment of Products. Special Issue of Management Science on Data-Driven Prescriptive Analytics. SSRN
(2020). A Test Score Based Approach to Stochastic Submodular Optimization. Management Science. arXiv
(2019). Uncertainty in Multi-Commodity Routing Networks: When does it help?. IEEE Transactions on Automatic Control. arXiv
(2017). Envy-free pricing in large markets: Approximating revenue and welfare. ACM Transactions on Economics and Computation (TEAC). ArXiV


December 2018 – Present

Teaching Fellow

Harvard Business Analytics Program

Creating and teaching lecture material and programming assignments for the Data-Driven Marketing Course. Duties also include managing strategy for online collaboration tools (e.g., Slack) and selecting students for the honors program.
December 2017 – Present

Academic Consultant


Working closely with data scientists at Wayfair to develop online learning strategies for product ranking.
January 2017 – Present

Conference Service

Served on the Program Committee of

  • EC 2020
  • IJCAI 2019
  • AAMAS 2019
  • AAAI 2019
  • CoopMAS 2017
January 2016 – May 2016
Cambridge, UK

Research Intern

Microsoft Research

Worked with Peter Key and Ian Kash on pricing strategies for the cloud.

Invited Talks