I am a data scientist who combines earth & environmental science foundations with cutting‑edge simulation, AI, and geospatial tools. My current work involves: building systems to ensure scientific rigor in the ways that AI agents access, infer, and discover data; uncertainty quantification (UQ) for human/AI-driven high throughput scientific workflows; and how to architect pipelines to improve insights and forecasts that drive bio-economic futures.
My path began with a passion for understanding earth systems from above, mapping and modeling systems at multiple scales. Previously I worked at NOAA (in Honolulu and later Seattle) on decision making under uncertainty, risk forecasting and climate scenario resilience for industrial fisheries management. I have also worked in the Florida Keys and studied at the Smithsonian Tropical Research Institute in Bocas Del Toro, Panama while completing my BSc in Environmental Science at UC Berkeley.
I received my PhD from the the School of Aquatic and Fisheries Science at the University of Washington in the Punt Lab. My research was supported by a NMFS-Sea Grant Population Dynamics Fellowship awarded in 2019.