I'm a versatile physical scientist who enjoys working with fast-moving teams on challenging and important problems.
I've had the opportunity to work across diverse domains, ranging from cosmology to remote sensing, from mineral exploration to weather forecasting. A consistent focus has been deriving insights from sensor data by combining physical principles with statistical and machine learning approaches.
As of March 2024, I'm jumping back into the world of AI weather forecasting, described more below, but most recently I was a Staff Data Scientist at KoBold Metals, working at the intersection of sensor data and data science to discover new deposits of battery metals.
In 2021 I independently conceived and executed on a high-impact research project for ML-based weather forecasting, Forecasting Global Weather with Graph Neural Networks (paper, site, thread).
I was previously the Chief Scientist at Descartes Labs, a geospatial software and analytics company.
Before that I was a cosmologist at the University of Chicago and Stanford University, focused on the cosmic microwave background and large-scale structure. I pursued most of this research working on the South Pole Telescope, a project that took me five times to the South Pole in Antarctica - an incredible place!