I am an Assistant Professor in the Department of Civil Engineering at McGill University, where I lead the Human–Machine Transportation Systems (HMTS) Lab. My overarching goal is to design more efficient, resilient, and human-centered mobility systems by understanding the complex interactions between people, intelligent machines, and infrastructure.

The current frontier of our HMTS research is agentic transportation systems and mobility services. We study how machine agency can help operate and upgrade vehicles and infrastructure, as well as how the public perceives and adopts these new services. We investigate how partially or fully autonomous machine agents pursue goals, coordinate, and adapt. By exploring the fine line between agency and autonomy, we evaluate how to best allocate decision-making authority. Methodologically, our team bridges behavioral and engineering sciences. To understand societal impacts, we rely on surveys, behavioral modeling, demand forecasting, and technology diffusion. For system optimization, we draw on state-space modeling, reinforcement learning, decision-making under partial observability, and agent-based models.

Before joining McGill, I worked as a Senior System Modeler and Senior Engineer across various companies and public institutions. As a licensed Professional Engineer (PE) and Professional Transportation Planner (PTP), I am committed to connecting methodological advances with practical challenges. I hold a Ph.D. in Civil Engineering from the University of California, Irvine, following degrees from the University of Southern California and the Beijing Institute of Technology.

Through GERAD, I aim to advance the mathematical foundations of transportation research. I look forward to engaging with GERAD’s interdisciplinary community to build collaborations in operations research, control theory, dynamic games, and decision analysis—particularly concerning multi-agent coordination under uncertainty. By contributing my dual industry and academic experience to joint projects and student mentorship, I hope to help prepare the next generation of decision-science professionals.