Email: wangzicheng at cuhk dot edu dot cn

CV: [link]

Zicheng Wang

Assistant Professor, School of Data Science, The Chinese University of Hong Kong, Shenzhen

Zicheng Wang is an Assistant Professor in the School of Data Science, The Chinese University of Hong Kong, Shenzhen. He was a Post-Doctoral Associate at the Department of Laboratory Medicine and Pathology at the University of Minnesota, supervised by Doctor Ruping Sun. Before joining SunPath Lab, Zicheng received a Ph.D. from the University of Minnesota – Twin Cities, advised by Doctor Kevin Leder.

Research Interests

Applied probability: stochastic processes, queuing networks, large deviations, simulation

Mathematical modeling of cancer: cancer recurrence, copy number variation, tumor phylogeny

Operations management: ride-hailing platform, automation

Publications and Preprints

1. Kevin Leder, Xin Liu, and Zicheng Wang. Splitting Algorithms for Rare Events of Semimartingale Reflecting Brownian Motions. Stochastic Systems 11(4), 333-367 (2021) [link]

    2. Pranav Hanagal, Kevin Leder, and Zicheng Wang. Large Deviations of Cancer Recurrence Timing. Stochastic Processes and their Applications, 147, 1-50 (2022) [link]

    3. Zicheng Wang, Yunong Xia, Lauren Mills, Athanasios N. Nikolakopoulos, Nicole Maeser, Jason Sheltzer, and Ruping Sun. Evolving Copy Number Gains Promote Tumor Expansion and Bolster Mutational Diversification. Nature Communications, 15, 2025 (2024) [link]

    4. Saif Benjaafar, Zicheng Wang, and Xiaotang Yang. Human in the Loop Automation: Ride-Hailing with Remote (Tele-) Drivers. Management Science, Accepted (2024) [link]

    5. Kevin Leder, and Zicheng Wang. Clonal Diversity at Cancer Recurrence. Under Review, 2024 [link]

    6. Saif Benjaafar, Zicheng Wang, and Xiaotang Yang. The Impact of Automation on Workers when Workers are Strategic: The Case of Ride-Hailing. Major Revision at M&SOM, 2024 [link]

    7. Kevin Leder, Ruping Sun, Zicheng Wang, and Xuanming Zhang. Parameter Estimation from Single Patient, Single Time-Point Sequencing Data of Recurrent Tumors. 2024 [link]