Current research interests:

  • Empirical Operation Management; Sharing Economy; Online Platforms
  • Methodology used in Empirical OM; Econometrics; Statistical Learning; Machine Learning
  • Financial engineering and Fintech

Research Projects:

Customer Preference and Station Network in the London Bike Share System

Joint work with Fanyin Zheng, Karan Girotra and Elena Belavina

Accepted at Management Science

Buy Rough, Sell Smooth

Joint work with Paul Glasserman

Quantitative Finance, volume 20, 2020, Issue 3

Machine Learning in Demand Estimation with Long-tail Data

Joint work with Fanyin Zheng

Working paper

Machine Learning in Factor Models

Joint work with Paul Glasserman

Work in progress

Thesis:

My thesis can be found here

Recent Inivited and Conference Talks:

  • POMS 2019, Washington DC (May 2019)
  • Data Science track

    Retail Operation track

  • INFORMS Annual Meeting, Phoenix AZ (Nov 2018)
  • Marketplace Innovation: Field and Empirical Studies

    Machine Learning and Causal Inference

    Probability models in sharing economy

  • MSOM Service SIG Meeting (8/66 submissions), Dallas TX (July 2018)
  • INFORMS RMP Annual Conference, Toronto, Canada (June 2018)
  • Bloomberg Quant Seminar, New York NY (April 2018)
  • INFORMS Annual Meeting, Houston TX (Oct 2017)
  • Empirical OM Workshop, Philadelphia PA (Sept 2017)
  • MSOM Annual Conference, Chapel Hill NC (June 2017)
  • Marketplace Innovation Workshop, Stanford CA (June 2017)