I am a PhD candidate at Digitisation & AI for Mobility Network Dynamics (DAIMoND) Lab, working at the intersection of transportation systems, simulation, and trustworthy AI.

My research focuses on intelligent decision-making for human mobility systems, including pedestrian flow prediction, crowd simulation, and reinforcement learning for operational crowd management. I am particularly interested in simulation-driven AI: combining domain knowledge, mathematical modeling, machine learning, and control to support reliable and explainable decisions in complex real-world environments.

My long-term goal is to develop trustworthy intelligent systems that help make mobility and public infrastructure safer, more efficient, and more adaptive. Please read more about my projects via my personal website