Jie Wang is a Ph.D. student in Industrial Engineering at the H. Milton Stewart School of Industrial and Systems Engineering. He received BS degree in Pure of Mathematics Major from The Chinese University of Hong Kong, Shenzhen. His main research studies decision-making under uncertainty. His research has been published on several journals and conferences such as Operations Research, Information and Inference: a Journal of the IMA, NeurIPS, AISTATS, Asilomar, and ISIT. He has received several awards, such as 2022 ISyE Robert Goodell Brown Research Excellence award (Data Science and Statistics Track), Winner in 2022 INFORMS Poster Competition, Finalist for Best Theoretical Paper in 2023 INFORMS Workshop on DMDA, and Finalist for Data Challenge Competition in 2023 INFORMS Workshop on DMDA.