I am an Associate Professor and William Dawson Scholar in the Department of Civil Engineering at McGill University. I received my PhD degree in Civil Engineering (Transportation) from National University of Singapore, and earned a Bachelor degree in Civil Engineering from Tsinghua University. During my PhD, I worked at Mobility and Transport Planning module at the Future Cities Laboratory, Singapore-ETH center. Prior to joining McGill, I was a Postdoctoral Associate at MIT Media Lab. My current research centers on statistical modeling of multidimensional and spatiotemporal data, with applications in urban transportation systems.

For Prospective Students/Postdocs

• I am looking for 1-2 PhD students for 2024 Winter/Fall (starts in January/September) who are excited about machine learning for smart transportation. If you’re interested, please send me an email or apply through the McGill uApply system. Please use “Prospective PhD student [Your name]” as your email subject. Due to the large volume of emails, I apologize for not replying to individual inquries I have received.
• See more info about Civil Engineering @ McGill University.
• If you have a good record in mathematics/machine learning, you are encouraged to apply for the IVADO graduate student scholarship.
• Postdocs or final year PhD students with strong mathematics/machine learning background (and also application in smart transportation, e.g., spatiotemporal prediction, generative model for urban activity) are strongly encouraged to apply for the IVADO postdoc scholarship. Very competitive package!
• Scholarship opportunities:
• for PhD: McGill MEDA, CSC, Quebec-China Scholarship, PBEEE Level 1 Graduate, Quebec DFW, IVADO, McGill MEITA;
• for Postdoc: Miatcs Elevate, NSERC Banting (best in Canada), NSERC Postdoctoral Fellowship, PBEEE Level 2 Postdoc, IVADO, CSC;
• for Undergraduate: Mitacs Globalink/international, NSERC USRA, McGill SURE.

Research Interests

• Spatiotemporal modeling
• Intelligent transportation systems
• Machine learning & Statistics
• Tensor analysis
• Traffic simulation
• Urban computing & smart cities
• Public transportation operation
• Mobility and travel behavior
• Agent-based modeling and simulation