Curriculum Vitae

Lei Dong

Contact Information

Email: arch.dongl(at)gmail.com | Homepage: donglei.org | Weibo: @LEI_DONG

Research Interests

Urban studies, spatial analysis, data science, computational social science, complex system, visualization

Academic Positions

  • 2018- , Post-Doctoral Associate, Senseable City Lab and China Future City Lab, Department of Urban Studies and Planning, MIT
  • 2017-2018, Post-Doctoral Fellow, School of Earth and Space Sciences, Peking University

Education

  • 2011-2017, Ph.D., School of Architecture, Tsinghua University
    • Dissertation: Mobile Phone Location Data and Urban Studies [Download, 13.7MB]
    • Advisor: Professor Youguo Qin
  • 2014-2015, Visiting Fellow, Graduate School of Design, Harvard University
  • 2008-2012, B.Econ., School of Economics and Management, Tsinghua University
  • 2007-2011, B.Arch., summa cum laude (top 2%), School of Architecture, Tsinghua University

Working Papers and Reports

  • Jianying Wang, Lei Dong, Ximeng Cheng, and Yu Liu. 2018. Spatial heterogeneity and distance decay in human mobility. Submitted.

  • Yuxia Wang, Lei Dong, Zhou Huang, Ye Liu, and Yu Liu. 2018. Towards the nationwide migrant patterns in China extracted from mobile positioning data around the Spring Festival. Submitted.

  • Lei Dong. 2018. Universality of zone dynamics during urban development. In Progress.

  • Meng Zeng, Rong Shi, Lei Dong, Haishan Wu. 2016. The Living Standards Dimension of the Human Development Index. UNDP Report. Link

Publications

+: Equal contribution; *: Corresponding author

Conferences

  • Lei Dong, Ruiqi Li, Jiang Zhang. 2015. From digital footprints to the dynamic population distribution and road network efficiency. D4D Challenge Netmob’15, MIT Cambridge MA.
  • Ruiqi Li, Lei Dong, Xinran Wang, and Jiang Zhang. 2014. Simple rules yield complex cities. CitiNet ECCS’14, Italy.
  • Lei Dong. 2014. Young Generation and clean energy in China. Model CES, Korea.
  • Lei Dong. 2012. Power law of china urban system. Ph.D. Forum (with distinction), Tsinghua University Beijing.

Honors, Awards, and Grants

  • 2018, Boya Scholarship, Peking University
  • 2018, China Postdoctoral Science Fund (PI)
  • 2018, Peking University Research Fund (PI: Yu Liu)
  • 2016, Natural Science Foundation of China Fund (PI: Weixin Huang)
  • 2016, Beijing Urban Planning Council Fund (with Xiaohui Yuan)
  • 2015, Beijing Science and Technology Commission Fund (with Xiaohui Yuan)
  • 2014, China Scholarship Council Grant
  • 2012, Outstanding Graduate, Beijing
  • 2012, Highest Honor of Graduate, Tsinghua University
  • 2010, Hong Kong and Shanghai Banking Corporation (HSBS) Scholarship
  • 2009, NI Tianzeng Scholarship
  • 2008, PetroChina Company Scholarship
  • 2006, China Physics Olympiad (CPhO) $2^{nd}$ Prize, Rank $1^{st}$ of Shandong Province

Experiences

  • 2017-now, Co-founder, Stardust.ai
    • Human-in-the-loop, crowd-sourcing for AI data
  • 2017-now, Co-founder, QuantUrban
    • Data Science for Urban Development Company
  • 2015-2017, Data Science Intern, Big Data Lab, Baidu Research
  • 2011-2017, Research Assistant, School of Architecture, Tsinghua University
    • Data science at Department of Architecture Technology and Science
  • 2015-now, Co-creator, Fruitalk Podcast
    • Tech podcast
    • Rating on Apple Podcast: 5 stars
    • 100+ episodes | 10,000+ subscribers | 1,000,000+ plays (2017.02)
  • 2011-2013, Project Manager, Team Tsinghua-FIU, Solar Decathlon China
    • Raised $800,000+ USD to build a sustainable house
    • Received three $1^{st}$ prizes, one $3^{rd}$ prize from ten contests
    • Granted eight patents in building technology

Teaching

  • 2016 Fall, Mobile Phone Data and Economic Research
    • Online platform: Zhihu.com
    • Slides: [1], [2]
  • 2016 Fall, Applied Machine Learning and Data Analysis
    • Seminar at Tsinghua University
  • 2014-2015, Spatial Data Analysis and Visualization
    • Workshop at Tsinghua University
    • Slides: [1], [2], [3]
    • 4 Weeks | ~40 Participants

Skills

  • Data Analysis and Graphics

    • Python (including numpy, scipy, pandas, geopandas, matplotlib, networkx, and scikit-learn), Hadoop, R, QGIS, ArcGIS, Rhino (grasshopper), D3, ggplot2, Photoshop, Illustrator, InDesign
  • GitHub

  • Language

    • Chinese, English

Invited Talks

  • 201801, Spatial Atrraction and Matching Model for Urban Scaling Laws, @Wuhan University
  • 201712, Urban Science, Art, and Engineering, @Central Academy of Fine Arts
  • 201707, Mobile Phone Data and Urban Dynamics, @Tsinghua University
  • 201707, Urban Science, Art, and Engineering, @Capital University of Economics and Business
  • 201706, Space and Scaling, @Peking University
  • 201706, Getting, Cleaning, and Visualizing Data, @Capital University of Economics and Business
  • 201705, Measuring Economic Activity in China with Mobile Big Data, @China R
  • 201704, Urban Science, Art, and Engineering, @Tsinghua University
  • 201610, Social Science, Machine Learning, and Urban Geometry, @Beijng Normal University
  • 201610, Social Science, Machine Learning, and Urban Geometry, @Swarma Club
  • 201608, Mobile Phone Data and Economic Research, @Baidu Big Data Lab
  • 201511, Big Data and Urban Development, @Swarma Club

Version: 201806, [Download, 40k]