I am working with several enthusiastic undergraduate and graduate students in different majors on several exciting projects in applied mathematics and related fields. I also collaborate with researchers in applied mathematics, biology, engineering, computer science, and other disciplines at different institutes. Below are some of the projects we are working on.
My group has several openings from research interns to PhDs and postdoc positions. Also, my group offers several collaborative opportunities with groups at UCLA, NYU, and Oxford for students with a passion for applied mathematics and related fields. If you are interested in joining our research efforts, please feel free to contact me ：）
Current Student
Chelsea Huang, 05/2023 - present (next to M.S. in Computer Science, USC, 2024)
controlling disease spread on a network
Alumni
Chenguang Guan, 06/2023 - present (next to Ph.D. in Applied Mathematics, Brown University, 2023)
simulating cancer cell proliferation
Jiancheng Zhang, 03/2023 - 03/2025 (next to Ph.D. in ECE, UC Riverside, 2024)
reconstructing gene regulatory dynamics (preprint)
Zhaoyi You, 04/2023 - 03/2025 (next to M.S. in Computational Biology, CMU, 2024)
reconstructing gene regulatory dynamics (preprint)
Yiyuan Zhang, 09/2023 - 07/2024 (next to Ph.D. in Accounting, Yale University, 2024)
controlling disease spread on a network
Yunhong Deng, 03/2023 - 08/2024 (next to M.S. in Applied Mathematics, UMN, 2024)
adaptive spectral methods in unbounded domains (paper)
Qijing Shen, 02/2022 - 02/2023 (next to DPhil in Biostatistics, University of Oxford, 2022)
reconstructing spatiotemporal differential equations (paper)
Collaborators
I collaborate with researchers from diverse backgrounds:
Prof. Alex Mogilner (NYU): reconstructing noisy gene regulatory dynamics; numerical methods for cell migration
Prof. Tom Chou (UCLA): kinetic theories for modeling cell population
Prof. Alexander Hoffman (UCLA) and Dr. Xiaolu Guo (UCLA): reconstructing NFkB signaling dynamics from experimental single-cell data
Ms. Qijing Shen (Oxford): developing Wasserstein-distance-based uncertainty quantification methods
Prof. Sihong Shao (Peking University): adaptive spectral methods
Prof. Philip Maini (Oxford): adaptive therapies for controlling tumor growth; reconstructing parameter distributions in ocular pharmacokinetics
Prof. Eamonn Gaffney (Oxford): reconstructing parameter distributions in ocular pharmacokinetics
Prof. Lucas Böttcher (Frankfurt School of Finance and Management & University of Florida): controlling disease spread on social networks
Prof. Haitong Zhe Sun (National University of Singapore): uncertainty quantification in ozone dynamics