research

To understand Earth system variability, predictability, and change across time and space, with an emphasis on developing and implementing artificial intelligence tools in a way that mimics scientific human reasoning to improve intrinsic interpretability

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AI for Science

Building and implementing interpretable AI to advance scientific understanding.
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Science of AI

How do AI models learn from Earth system data? How can we make them more interpretable?
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Emulators Beyond Forecasting

Treating fast, differentiable emulators as laboratories for the likelihood of rare events and uncovering hidden physics
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Human-Earth Futures

Exploring the coupled human-Earth system to understand future trajectories and potential impacts.
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Daily-to-Decadal Prediction

Quantifying the predictability of the Earth system on daily to decadal timescales.
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Variability and Change

Investigating variability in the Earth system and its implications for past and future change.