Associate Professor, College of Surveying and Geo-informatics, Tongji University, Shanghai, China
- Numerical Methods for Ice Sheet Modeling: ISSM, DJUICE.jl
- Machine Learning in Glaciology: PINNICLE
- Data Assimilation and Inverse Modeling
- Ice-Ocean and Ice-Bed Interaction
- Scientific Computing and Numerical Analysis for Linear and Nonlinear PDEs
- Finite Element Method, Radial Basis Function Method
- 2025: A Python library for solving ice sheet modeling problems using Physics Informed Neural Networks, PINNICLE v1.0. Geoscientific Model Development
- 2024: Forward and Inverse Modeling of Ice Sheet Flow Using Physics-Informed Neural Networks: Application to Helheim Glacier, Greenland. JGR: Machine Learning and Computation
- 2022: Helheim Glacier’s Terminus Position Controls Its Seasonal and Inter-Annual Ice Flow Variability. Geophysical Research Letters
- 2020: Parameter sensitivity analysis of dynamic ice sheet models - Numerical computations. The Cryosphere
- 2018: Anisotropic Radial Basis Function Methods for Continental Size Ice Sheet Simulations. Journal of Computational Physics
- 2017: Accurate and Stable Time Stepping in Ice Sheet Modeling. Journal of Computational Physics
(For a complete list of publications, visit my Google Scholar Profile.)