Observational Data: Satellite (SWOT) and in situ platforms including wave gliders, moorings, and deep-ocean temperature/salinity measurements
Data Science & Programming: Python, Fortran, MATLAB, high-performance computing (HPC), Git-based version control and collaboration
Data Management & FAIR Practices: Produce datasets that adhere to FAIR principles (Findable, Accessible, Interoperable, Reusable) and maintaining clear, consistent file structures for long-term usability
Ocean Models: Coupled ocean-atmosphere modeling and data assimilation; Experience in Regional Ocean Modeling System (ROMS), Finite Volume Com-
munity Ocean Model (FVCOM)
Education
Ph.D. Meteorology & Physical Oceanography, University of Miami (2022)
B.Sc. Marine Science, Ocean University of China (2016)