Selected Publications

(2019). Learning Product Rankings Robust to Fake Users. In Preparation.
(2019). Optimal Subscription Design for Ridehailing and Two-sided Markets. In Preparation.
(2019). Learning to Rank an Assortment of Products. Major Revision, Special Issue of Management Science on Data-Driven Prescriptive Analytics. SSRN
(2019). A Test Score Based Approach to Stochastic Submodular Optimization. Forthcoming, Management Science. arXiv
(2019). Uncertainty in Multi-Commodity Routing Networks: When does it help?. Forthcoming, IEEE Transactions on Automatic Control. arXiv
(2018). Combinatorial Bandits for Incentivizing Agents with Dynamic Preferences. Proceedings of UAI 2018. arXiv
(2017). Envy-Free Pricing in Large Markets: Approximating Revenue and Welfare. ACM Transactions on Economics and Computing (TEAC). PDF
(2017). Price Doubling and Item Halving: Robust Revenue Guarantees for Item Pricing. Proceedings of EC 2017. arXiv

Experience

 
 
 
 
 
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

Wayfair

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