Maia Sosa Kapur

ai & data science for the earth

I am a data scientist at the Pacific Northwest National Laboratory, where I combine my earth & environmental science foundations with cutting‑edge simulation, AI, and geospatial tools to drive environmental discovery.

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 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.

My current research interests include: how to rapidly develop and deploy AI tools to improve ecological insights and forecasts; how complex ecological forcings conspire to bias data and statistical estimation models; and how geospatial techniques can improve data workflows for connected systems impacted by climate.