About

Computational physicist (PhD, University of Michigan 2025) building machine learning systems and production data pipelines for climate tech and climate science. Seven years designing physics-informed models, statistical algorithms, and HPC pipelines for multi-terabyte scientific datasets.

My work spans spatio-temporal analysis of Earth-system simulations, automated image analysis, and ML-driven risk assessment for renewable energy. I care about applying rigorous quantitative methods to problems that matter for the planet.

Portfolio projects, including examples of machine learning models I am building, can be found in the Projects section.