Luhao Zhang is an assistant professor in the Department of Applied Mathematics and Statistics.
Her research explores how to exploit information optimally for decision-making in stochastic and uncertain environments from modeling and quantitative aspects. It advances new tractable methodology in data-driven distributionally robust optimization, personalized decision-making, and dynamic information acquisition. Her work lies at the intersection of decision-making under uncertainty, stochastic and robust optimization, machine learning, continuous-time reinforcement learning, and algorithmic fairness.
Zhang received her bachelor’s degree in mathematics and applied mathematics (honors program) from Xi’an Jiaotong University, China, in 2018, and her PhD in mathematics from the University of Texas at Austin in 2023. She is currently a postdoctoral research scientist in the Department of Industrial Engineering and Operations Research at Columbia University.