About Me
I am Jingfeng Wang, a postdoctoral research scholar at North Carolina State University. I received my Ph.D. from the University of Macau in 2024, and my B.S. from Sichuan University in 2020. My research focuses on optimal transport, numerical methods for partial differential equations, and machine learning. Discussions and collaborations are warmly welcomed.
Research
I develop computational methods for biological data analysis, PDE-based simulation and optimization, and problems with optimal transport structure. The pages below introduce my research and related software.
Optimal transport & biology
Optimal Transport Modeling and Biological Application
Dynamic and unbalanced optimal transport for modeling biological dynamics. My recent work includes COATI, which uses synchronized transport to infer cell-state trajectories across gene expression and chromatin accessibility spaces.
Explore the research and COATINumerical analysis & scientific computing
Numerical Methods for PDEs
Goal-oriented mesh adaptation, multi-mesh methods for multiple target functionals, and reinforcement learning for shape optimization. This page brings together the methods, computational workflows, and an AFEPack-based tutorial.
Explore the methods and tutorialOptimal transport & optimization
Optimal Transport & Operations Research
OTBD uses GPU-accelerated optimal transport to evaluate transport subproblems in mixed-integer optimization, including facility location and hub transport problems.
Explore OTBD and computational results