About Xinyu

I am a Schmidt AI in Science postdoctoral fellow at the University of Michigan, mentored by Dr. Yafeng Yin and Dr. Vijay Subramanian. I hold a Ph.D. in Operations Research from the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech, under the supervision of Dr. Anton J. Kleywegt. Prior to that, I graduated summa cum laude from Singapore University of Technology and Design (SUTD), majoring in business analytics, and economics and operations research.

Research Interests

I develop rigorous problem-driven methodological frameworks in (i) sequential decision-making under uncertainty, (ii) stochastic modeling, control, and optimization, (iii) game theory and economic analysis, and (iv) data-driven optimization. I am motivated by emerging problems in transportation and logistics, facility design, service systems, and the broader scope of cyber-physical social systems and modern AI/ML systems.

My methodological core lies in the novel formulation of continuous-time Markov decision processes (MDPs) to facilitate the derivation of efficient and effective solution concepts and algorithms for application-driven problems. I also model complex systems using stochastic processes, dynamic programming, queueing theory, and high-fidelity simulation.