Research Interests
- High-resolution climate simulations
- Modeling and prediction of precipitation, with a focus on extreme events
- Application of machine learning and deep learning techniques for precipitation forecasting
- Data-driven methods to enhance the accuracy of weather and climate predictions
Educational Background
- B.S. in Physics, National Taiwan University (2020)
Technical Skills
- Programming: Python, R, MATLAB, NCL
- Machine Learning/Deep Learning: PyTorch, Scikit-learn, TensorFlow
- Climate Modeling: Proficient in running CESM (Community Earth System Model) and E3SM (Energy Exascale Earth System Model)