Ph.D. in Industrial and Systems Engineering, University of Minnesota - Twin Cities (2015-2021)

B.A. in Mathematics, University of Minnesota - Twin Cities (2011-2015)

Zicheng Wang is currently an Assistant Professor in the School of Data Science, The Chinese University of Hong Kong, Shenzhen. He received his Ph.D in Industrial and Systems Engineering from the University of Minnesota – Twin Cities in 2021. He was a postdoctoral associate at the University of Minnesota Medical School during 2021-2023. His research interests include applied probability and its application in mathematical modeling of cancer and operations management.

B. Journal articles

1. “Splitting Algorithms for Rare Events of Semimartingale Reflecting Brownian Motions”, Stochastic Systems, 11(4), p. 291-325, 2021 (with Kevin Leder and Xin Liu).

2. “Large Deviations of Cancer Recurrence Timing”, Stochastic Processes and their Application, 147, p. 1-50, 2022 (with Pranav Hanagal and Kevin Leder).

3. “Clonal Diversity at Cancer Recurrence”, In Preparation for Submission, 2023 (with Kevin Leder)

4. “Evolving Copy Number Gains Promote Tumor Expansion and Bolster Mutational Diversification”, Submitted, 2023 (with Yunong Xia, Lauren Mills, Athanasios Nikolakopoulos, Nicole Maeser, Jason Sheltzer, and Ruping Sun)

5. “Human in the Loop Automation: Ride-Hailing with Remote (Tele-) Drivers”, Major Revision at Management Science, 2023 (with Saif Benjaafar and Xiaotang Yang)

6. “The Impact of Automation on Workers when Workers are Strategic: The Case of Ride-Hailing”, In Preparation for Submission, 2023 (with Saif Benjaafar and Xiaotang Yang)