Using new big mobility data sources, such as mobile phone traces and public transport smart card data, I develop models to estimate, explain and predict spatial-temporal behavior of people, which can help urban authorities, mobility companies and retail companies make better decisions.

In this website, you can (1) find my CV below, and (2) find the summary of my research in the portfolio section.


  • Ph.D. in Transport & Planning, TU Delft, 2015 - 2019 (expected).
    • Topic: Using big data to inform travel demand models.
    • Supervisors: Gonçalo Correia, Bart van Arem, and Harry Timmermans.
  • M.S. in Transport & Planning, TU Delft, 2013 - 2015.
  • B.S. in Transportation, Shanghai Jiao Tong University, 2009 - 2013.


Honors and awards

Conference presentations

  • “A neighborhood-based collaborative filtering algorithm for secondary activity location choice prediction using smart card data.” Transportation Research Board Annual Meeting, 2019.
  • “Understanding travelers’ preferences for different types of trip destinations based on mobile internet usage data.” International Conference on Travel Behavior Research, 2018.
  • “Using mobile internet usage behavior data to understand travel behavior.” TRAIL Congress, 2017.
  • “Understanding multiday activity patterns based on mobile internet usage behavior.” NetMob, 2017.
  • “Using public transport smart card data to model location choice of after-work activity: An application to Shanghai.” TRAIL Congress, 2016.
  • “Use of mobile phone data for planning a road network: Application to the country of Senegal.” EWGT, 2015.
  • “National and regional road network optimization for Senegal using mobile phone data.” NetMob, 2015.

Invited talks

Activity and services