My research lies at the interface of applied and computational mathematics, statistics, and machine learning. I focus on developing analytically accurate yet computationally tractable data assimilation and scientific machine learning for complex dynamical systems.
Modeling partially observed nonlinear dynamical systems and efficient data assimilation via discrete-time conditional Gaussian Koopman network [poster] [code]
Chuanqi Chen, Zhongrui Wang, Nan Chen, and Jinlong Wu
Computer Methods in Applied Mechanics and Engineering, 2025
A Nonlinear Data Assimilation Algorithm with Closed-Form Approximations for Multi-Layer Flow Fields [poster] [code]
Zhongrui Wang, Nan Chen, and Di Qi
Monthly Weather Review (MWR), 2025
CNN-based adaptive localization for an ensemble Kalman filter [code]
Zhongrui Wang, Lili Lei, Jeffrey L. Anderson, Zhe-Min Tan, and Yi Zhang
Journal of Advances in Modeling Earth Systems (JAMES), 2023
The importance of data assimilation components for initial conditions and subsequent error growth
Zhongrui Wang*, Haohao Sun*, Lili Lei, and Zhe-Min Tan
Science China Earth Sciences, 2023
Integrated Hybrid Data Assimilation for an Ensemble Kalman Filter
Lili Lei, Zhongrui Wang, and Zhe-Min Tan
Monthly Weather Review (MWR), 2021