Research
From data, to dynamics, to impacts
My research sits at the intersection of physical oceanography, data science, and high-performance computing. It is organized around three connected lines: building the data and methods to observe the ocean across scales, using them to understand multiscale physical processes, and tracing how those processes affect ecosystems and human populations.
1 · Data-driven
Methods to fuse, share, and learn from large environmental datasets
2 · Dynamics
Multiscale physical processes in the ocean and atmosphere
3 · Impacts
How multiscale physics affects ecosystems and people
Data-driven methods
I develop methods and open-source tools to fuse observations and model output across platforms and scales, distribute them as open, analysis-ready datasets, and extract insight from them using high-performance and cloud computing, statistics, machine learning, and scalable visualization.
Multiscale ocean & atmosphere dynamics
I use observations, theory, and numerical simulations to understand physical processes from the mesoscale down to the submesoscale, and their coupling with the atmosphere.
Impacts on ecosystems & people
I study how multiscale ocean and atmosphere physics shapes extreme events, marine life, and the communities that depend on them.
