research

I work on data-driven modeling and state estimation methods with applications to environmental systems. I am a part of the interdisciplinary NSF Research Training Grant focused on uncertainty quanification in the life sciences.

preprints & publications

L. B. Ebby & M. Farazmand. Harnessing eyewitness reports improves real-time forecasts of fire spread in the WUI. Submitted, June 2026.

L. B. Ebby & M. Farazmand. Discrete Empirical Interpolation Method with upper and lower bound constraints. Submitted, September 2025.

C. All, K. Ho, M. Magnuski, C. Nicolaides, L. B. Ebby, & M. Farazmand. Rapid estimation of global sea surface temperatures from sparse streaming in situ observations. Submitted January 2026.