Research Interest: Ocean Warming, Air-Sea Fluxes, Machine Learning, Model Parameterization, Physical Oceanography, Data Science, Chemical Oceanography. Julia received a Bachelor of Science in Chemical Engineering from Washington University in St. Louis. She worked as an engineering consultant in process, energy, and environmental engineering for two years before starting a PhD at Columbia University in 2022. Her research is conducted through the National Science Foundation (NSF)-funded Science and Technology Center, Learning the Earth with Artificial Intelligence and Physics (LEAP). She focuses on exchanges between the ocean and atmosphere, specifically examining ocean heat uptake. She uses machine learning to leverage in situ observations, remote sensing, and climate models to improve parameterizations of air-sea fluxes of heat and momentum. She is co-advised by Dr. Pierre Gentine (from Columbia University’s Department of Earth and Environmental Engineering) and Dr. Laure Zanna (a Professor of Mathematics and Atmosphere/Ocean Science at New York University).