About

Hi! I’m Julian, a first-year Ph.D. student in Envrionmental Science and Engineering at Caltech working with Tapio Schneider as a member of the Climate Modeling Alliance as well as Andrew Thompson. I’m broadly interested in applying mathematical tools to climate problems. At CliMA, this includes applying inverse methods to optimize climate model parameters in CliMA’s atmosphere model, ClimaAtmos.jl, by developing more efficient loss functions. With Dr. Thompson, I am applying dimension reduction techniques to explore variability in ocean-ice interactions along the Antarctic margins.

Before Caltech, I completed my Bachelor’s degree in Applied Mathematics at Harvard University in 2023 where I worked with Marine Denolle to develop a high-performance computing framework in the Julia Programming Language on Amazon Web Services, Mimi Hughes, Nathaniel Johnson, and Kai-Chih Tseng to track the future of snow droughts across the Western United States, and with Kelly McConville to design more robust estimators for studying U.S. forests. Post-grad, I worked briefly for Coolant as a software engineer developing machine learning tools for high-resolution carbon stock quantification.