Oliver R. A. Dunbar
Scholar

Oliver R. A. Dunbar

Google Scholar ID: qfdqME4AAAAJ
Research scientist, California Institute of Technology
inverse problemsderivative-free methodspartial differential equationsmachine learning
Citations & Impact
All-time
Citations
333
 
H-index
10
 
i10-index
10
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • 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.
Co-authors
0 total
Co-authors: 0 (list not available)