Talks
Can AI surpass physics? A case study in weather & climate modeling
NeurIPS AI for Science Workshop, San Diego — December 2025.
An invited talk on what the successes and challenges of AI-based weather and climate modeling tells us about the potential for replacing traditional physics-based approaches.
Google’s AI-based Weather and Climate Modeling with NeuralGCM
BuzzRobot, Palo Alto — October 2024.
An overview of NeuralGCM for a non-technical audience, and my perspective on the broader field of AI weather and climate modeling.
NeuralGCM — CLEX Seminar Series
ARC Centre of Excellence for Climate Extremes — 2024.
A research-audience version of the NeuralGCM talk, with more detail on the science and on how the model fits into the broader weather/climate modeling landscape.
Deep learning and differentiable simulations
Google — 2021.
A broader take on my AI-for-science research program: why differentiable simulations are a natural meeting point for machine learning and traditional scientific computing, and what we have learned from applying the approach to fluid dynamics, structural optimization, and quantum chemistry.
Introducing xray: N-D Labeled Arrays and Datasets
SciPy 2015.
The original Xarray launch talk. Why labeled multi-dimensional arrays make working with scientific data dramatically easier, and how Xarray builds on NumPy and Pandas.