Combining physics and AI models with observations and data analysis to understand the complexities of the ocean and its interaction with the atmosphere.
Click arrows to explore our research →Our observational backbone spans autonomous underwater vehicles, ship-based CTD surveys, moored buoy arrays, and multi-source satellite remote sensing.
We study Gulf Stream intrusions, shelf–ocean heat exchange, and biogeochemical cascades, combining high-resolution numerical models with data assimilation.
Working with DSV Alvin and deep-sea profiling floats, we measure thermohaline structure, turbulence, and biogeochemical fluxes from the pycnocline to the abyssal plain.
We fuse physics-based numerical models with machine learning — neural operators, PINNs, and deep-learning emulators — to produce skillful, interpretable ocean forecasts.