Yihong Tang

I’m a doctoral student at McGill University, supervised by Prof. Lijun Sun. Before joining McGill, I obtained my M.Phil. in Urban Analytics and Smart Cities from The University of Hong Kong and my B.Eng. in Computer Science and Technology from BUPT. I have also held research positions at institutions including Mobility AI Lab at The Hong Kong Polytechnic University (HK PolyU), JTL Transit Lab at Massachusetts Institute of Technology (MIT), and Suo Lab at Arizona State University (ASU). My research focuses on innovating data-driven, statistical, and AI methods to develop more connected, autonomous, intelligent, and human-centered urban and transportation systems, and to uncover the social dynamics they embody. My primary research interests span four interrelated areas: ** Human-centered Modeling and Synthesis**, focusing on population and mobility data with equity, privacy, and intent-awareness; ** Large Language Models for Urban Science**, aiming to build self-evolving agents for urban scientific discovery, planning, and causal reasoning; ** Multimodal Transportation Systems**, using multi-source data fusion to understand and optimize mobility systems; and ** Spatiotemporal Data Modeling**, developing models for forecasting, control, and behavior inference across space and time.