Junyu Cao
Assistant Professor
Department: Information, Risk & Operations Management
Research Areas: Supply Chain Management, Machine Learning
Junyu Cao is an assistant professor for The University of Texas at Austin’s McCombs School of Business within the Department of Information, Risk, and Operations Management. She teaches courses on decision science and statistics and modeling.
Prior to joining McCombs, Cao was a graduate student instructor for the University of California, Berkeley, where she taught in the university’s Haas School of Business and its Department of Industrial Engineering and Operations Research.
Cao’s work was a finalist in the INFORMS IBM Service Science Best Student Paper competition for exceptional research in optimizing package delivery by creating a sequential approach model. Her research in machine learning and expertise on fatigue, dynamic learning, and social behavior has been recognized by several institutions, and she has been invited to talk at the INFORMS Annual Conference, the IBM Thomas J. Watson Research Center, the Applied Probability Society Conference, and the International Conference on Machine Learning, among others.
Cao earned a B.S. in mathematics from Xi’an Jiaotong University and a Ph.D. in industrial engineering from the University of California, Berkeley.
ACADEMIC LEADERSHIP & AWARDS
2023 |
Reviewer Award, Operations Research Letters |
2022 |
INFORMS ISS Cluster Best Paper Award |
2019 |
Katta Murty Best Paper Prize |
2019 |
IBM PhD Fellowship |
2018 |
Outstanding Graduate Student Instructor, the University of California, Berkeley |
2015 |
Outstanding Graduates, Xi’an Jiaotong University |
Junyu Cao, Dairui Wang, Yan Zhang, and Wei Qi.
Cascading Bandits: Optimizing Recommendation Frequency in Delayed Feedback Environments.
Conference on Neural Information Processing Systems. Forthcoming.
Junyu Cao, and Wei Sun. Tiered Assortment: Optimization and Online Learning. Management Science. Forthcoming.
Junyu Cao, and Wei Qi. Mar/Apr 2023.
Stall Economy: The Value of Mobility in Retail on Wheels.
Operations Research 71(2): 708-726.
Junyu Cao, Hansheng Jiang, Zuo-jun (Max) Shen. Intertemporal Pricing via Nonparametric Estimation: Integrating Reference Effects and Consumer Heterogeneity. Manufacturing and Service Operations Management. Forthcoming.
Junyu Cao, Alexander B. Herman, Geoffrey B. West, Gina Poe, and Van M. Savage. Unraveling Why We Sleep: Quantitative Analysis Reveals Abrupt Transition from Neural Reorganization to Repair in Early Development. Science Advances, forthcoming.
Junyu Cao, Mariana Olvera-Cravioto, and Zuo-Jun Shen. 2020. Last-Mile Shared Delivery: A Discrete Sequential Packing Approach. Mathematics of Operations Research 45(4), 1466-1497.