Yuqiong Wang

Yuqiong Wang is a Byrne Research Assistant Professor in Mathematics at the University of Michigan, mentored by Erhan Bayraktar. Her research focuses on stochastic control systems, optimal stopping problems, and stochastic game theory with applications in mathematical finance. She earned her Ph.D. from Uppsala University in 2023, where she developed Bayesian frameworks for sequential decision-making under uncertainty.

Her publication record demonstrates consistent focus on refining stochastic modeling techniques, particularly through Bayesian approaches to sequential analysis. Recent theoretical advances include novel formulations of asymmetric Dynkin games and nonlocal parabolic operators derived from game-theoretic principles.