I am an Assistant Professor in the Department of Civil and Architectural Engineering and Construction Management at the University of Wyoming. My research lies at the intersection of transportation science, multimodal and generative AI, and statistical learning. I study how transportation systems can be understood, predicted, and represented from heterogeneous observations, and how physical constraints and transportation knowledge can improve the reliability and generalizability of AI models.
My work develops methods for spatiotemporal safety modeling, multimodal representation learning and reasoning, and the integration of observations and models in transportation digital twins. Key questions include how to infer traffic states and risks from incomplete data, learn representations that transfer across scenes and sensing conditions, and evaluate whether AI reasoning is grounded in observable evidence. Through model development, benchmark construction, and empirical evaluation, I aim to advance the scientific foundations of transportation AI and translate these advances into safer, more efficient transportation systems.