I am a quantitative transport geographer. My research leverages geographic information science (GIScience), remote sensing, big data analytics, artificial intelligence (AI), and time geography to enhance our understanding of human mobility and urban accessibility across space and time. The goal is to support the development of transportation systems that are environmentally sustainable, socially equitable, and resilient in the face of climate change.

I am currently seeking undergraduate, MSc, and PhD students interested in research on mobility & accessibility analytics that integrates environmental exposure (e.g., extreme heat), real-time & big public transit data analytics, the development of innovative time geographic methods, and the application of generative AI in urban transportation research. If you are interested, please email me with your CV.