Selected Publications

(2019). Learning to Rank an Assortment of Products. INFORMS 2018 Annual Conference [invited talk].
(2018). A Capacity-Price Game for Uncertain Renewables Resources. Proceedings of the ACM e-Energy 2018 [finalist for best paper award]. Preliminary version at MD4SG at EC 2018. arXiv
(2018). A Perspective on Incentive Design: Challenges and Opportunities. Annual Review of Control, Robotics, and Autonomous Systems [invited survey paper]. PDF
(2018). Uncertainty in Multi-Commodity Routing Networks: When does it help?. Proceedings of ACC 2018 (Undergoing revisions at the IEEE TAC). arXiv
(2018). Combinatorial Bandits for Incentivizing Agents with Dynamic Preferences. Proceedings of UAI 2018. arXiv
(2018). An Ordinal Approach to Approximation Algorithms. Currently under review at ACM TALG [extension of AAAI 2016 and WINE 2016 papers]. PDF
(2018). Submodular Maximization using Test Scores. Currently under review at Management Science. arXiv
(2017). Posted Pricing sans Discrimination. Proceedings of IJCAI 2017. arXiv
(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

Assisting Prof. David Parkes in managing content and strategy for the Data-Driven Market Course
 
 
 
 
 
December 2017 – Present

Algorithmic 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

  • 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.