Luhao Zhang

Luhao Zhang is an Assistant Professor in the Department of Applied Mathematics and Statistics at Johns Hopkins University (JHU), while concurrently serving as a Postdoctoral Research Scientist in the Department of Industrial Engineering and Operations Research at Columbia University. Her research focuses on developing robust methodologies for decision-making in stochastic and uncertain environments, integrating principles from optimization, machine learning, and algorithmic fairness.

• Education:
• Bachelor’s in Mathematics and Applied Mathematics (Honors Program), Xi’an Jiaotong University, China (2018)
• PhD in Mathematics, University of Texas at Austin (2023)

Her work bridges decision-making under uncertainty, stochastic optimization, and continuous-time reinforcement learning. She emphasizes data-driven approaches to personalize decisions and ensure algorithmic fairness in dynamic systems.

No specific grants, advising records, or lab affiliations are detailed in the provided text.