Invited visitor and speaker to various conferences including CaCAO group (Sep 11-12, 2025), AIP2025 (July 28-August 2, 2025), M2Lines Annual meeting (June 4-6, 2025), etc.
Research Experience
Works primarily in the Climate Modeling Alliance (CliMA), using Bayesian uncertainty quantification, data assimilation, and machine learning techniques to improve climate model prediction.
Education
Specific educational background details not provided, but he is working under Prof. Tapio Schneider and Prof. Andrew Stuart at the California Institute of Technology.
Background
An applied mathematician, currently working as a Senior Research Scientist in Environmental Sciences and Engineering at the California Institute of Technology. His current interests are in mathematical and statistical modeling for physical systems, and in the corresponding inverse and data assimilation problems to learn from data.
Miscellany
Contact: odunbar@caltech.edu; Located at 516 S Catalina Avenue, Pasadena, CA 91106, USA; Has links to LinkedIn, Google Scholar, GitHub, etc.