2025 Winner(s)
- Shengbo Wang,
Stanford University
Winning material:
Efficient High-Dimensional Gradient Estimation for Stochastic Differential Equations
Purpose of the Award
The Applied Probability Society seeks to identify and honor outstanding papers in the field of applied probability that are written primarily by a student. We define applied probability broadly, as any paper related to the modeling, analysis, and control of stochastic systems. The paper’s contribution may lie in the formulation of new mathematical models, in the development of new mathematical or computational methods, in the innovative application of existing methods, or in the opening of new application domains.
Application process:
Click here for more information.
Past Awardees
2025
Winner(s)
Shengbo Wang,
Stanford University
Finalist
Ruicheng Ao,
Massachusetts Institute of Technology
Gan Luo,
Peking University
Yaqi Xie,
University of Chicago
Wenxin Zhang,
Columbia University