Jia Wan is a master’s student in statistics at the University of Oxford where she is a Rhodes Scholar. Her research interests center on problems in multi-agent reinforcement learning, fairness in machine learning, mechanism design, and combinatorial optimization. She received her B.A. in applied mathematics and M.S. in computer science from Columbia University.