Maia Kapur
Data Scientist
Maia Kapur is a data scientist and systems architect specializing in data infrastructure, AI/ML modeling, and scientific data integration for multi-modal and high-throughput systems. With over a decade of experience spanning marine systems forecasting, geospatial analytics, and decision science, Maia brings expertise in designing end-to-end data pipelines, uncertainty quantification, model diagnostics, and cross-organizational data integration strategies to facilitate downstream foundation model applications and multi-lab scientific collaboration.
Research Interests
- Artificial Intelligence
- Earth Systems
- Algorithms and data transformations
- Data pipelines
- Uncertainty quantification
- Agentic Science
- Foundation Models
Education
- PhD in Aquatic and Fisheries Sciences, University of Washington
- MS in Marine Biology, University of Hawaii at Manoa
- BS in Environmental Sciences, University of California-Berkeley