Best Student Paper Prize

2023 Winner(s)

Winning material: Computable Bounds on Convergence of Markov Chains in Wasserstein Distance

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

2023 Winner(s)
Yanlin Qu, Stanford University
2023 Finalist
Yunbei Xu, Columbia University
Anna Winnicki, University of Illinois Urbana-Champaign
David Cheikhi, Columbia University
2022 Winner(s)
Tianyi Peng, MIT
Andrew Zheng, MIT
2022 Finalist
Wenlong Mou, University of California Berkley
Anand Kalvit, Columbia University
2021 Winner(s)
Xiangyu Zhang, Cornell University
2021 Finalist
Mark Gluzman, Cornell University
Yunbei Xu, Columbia University
Omar Mouchtaki, Columbia University
2020 Winner(s)
Yue Hu, Northwestern University
2020 Finalist
Anirudh Sridhar, Princeton
Yichun Hu, Cornell
Xiaojie Mao, Cornell
Min-hwan Oh, Columbia
2019 Winner(s)
Gal Mendelson, Technion
2019 Finalist
Yunzong Xu, MIT
2018 Winner(s)
Hongseok Namkoong, Stanford University
2017 Winner(s)
Guido Lagos, Universidad de Chile