About me

I am an Assistant Professor and Claude Marion Endowed Faculty Scholar in the Operations, Information and Decisions Department at the Wharton School, University of Pennsylvania.

My research focuses on how technology and data are re-shaping the organization and management of workers, service platforms, and supply chains—all of which call for actively managing decentralized incentives and information. I use large datasets to study the principled design of such incentives and information flows.

I am always open to new collaborations with academics and data partners. Current endeavors, which I am happy to talk about, include partnerships to enhance worker productivity and welfare within complex operations by collecting and leveraging better big data. Examples include (1) using biosensors to track and manage stress and rapid burnout among hospital intensive care providers, (2) ongoing initiatives with the Apple Worker Exit Study to understand disruptive worker turnover in the supply chain, and (3) using blockchain technology to tailor incentives to improve the welfare of first-mile producers in global, agricultural supply chains. I also study and collaborate extensively with online platforms managing flexible work arrangements.

I completed my Ph.D. at the Stanford Graduate School of Business and also hold a J.D. from the Harvard Law School and undergraduate degrees from Stanford University.

Research papers

  1. Searching for the Best Yardstick: Cost of Quality Improvements in the US Hospital Industry (Link)
    With: J. Lim, S. Savin
    Finalist, 2021 INFORMS MSOM Best Student Paper (J. Lim)

  2. Strategic Choices and Routing Within Service Networks: Modeling and Estimation Using Machine Learning (Link)

  3. Manufacturing Productivity with Worker Turnover (Link)
    2nd major revision at Management Science
    1st place, 2020 POMS Operational Excellence College Best Paper Award
    With: Apple Worker Exit Study
    Short presentation video (17min.) from the 2020 INFORMS Annual Meeting (held virtually)

  4. The Hidden Cost of Worker Turnover: Attributing Product Reliability to the Turnover of Factory Workers (Link)
    Management Science (2021), Forthcoming.
    With: P. Loyalka, P. Bergemann, J. Cohen
    Short presentation video (17min.) from the 2020 INFORMS Annual Meeting (held virtually)

  5. When to Be Agile: Ratings and Version Updates in Mobile Apps (Link)
    Management Science (2021), Forthcoming.
    1st place, 2020 POMS Product Innovation and Technology Best Student Paper (A. Singh)
    With: G. Allon, G. Askalidis, R. Berry, N. Immorlica, A. Singh

  6. Matching in Labor Marketplaces: The Role of Experiential Information (Link)
    Finalist, 2019 INFORMS MSOM Best Student Paper (J. Zhang)
    Finalist, 2019 INFORMS Revenue Management and Pricing Best Student Paper (J. Zhang)
    Finalist, 2019 IBM Service Science Best Student Paper (J. Zhang)
    With: E. Belavina, K. Girotra, J. Zhang
    Short presentation video (17min.) from the 2020 INFORMS Annual Meeting (held virtually)

  7. Responsible Sourcing: The First Step is the Hardest (Link)
    Reject and resubmit at Management Science
    1st place, People’s Choice Award at the 2020 Early-career Sustainable OM Workshop
    With: P. Ramchandani, H. Bastani

  8. Managing Market Thickness in Online Business-to-Business Markets (Link)
    Management Science (2020), 66(12): 5485-6064.
    1st place, 2017 Service Science Best Student Paper (W. Zhang)
    Finalist, 2018 POMS Supply Chain Management Best Student Paper (W. Zhang)
    With: K. Bimpikis, W. Elmaghraby, W. Zhang

  9. Randomized Markdowns and Online Monitoring (Link)
    Management Science (2018), 64(3): 1271-1290.
    With: K. Bimpikis, H. Mendelson

  10. Modeling Success and Engagement for the App Economy (Link)
    Proceedings of ACM The Web Conference (WWW’18) (2018), Research track: Social Network Analysis and Graph Algorithms for the Web.
    With: H. Mendelson