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Christopher Horvat is an applied mathematician and physical oceanographer at Brown University, where he leads the Antipodal Oceanography Group. His research focuses on understanding rapid climate change in polar and tropical regions, with key interests including modeling sea ice fragmentation and its interaction with ocean surface waves, parameterization of ocean turbulence and mixing, and remote sensing of sea ice and ocean surface waves. He is also engaged in research on emergent ecological variability and modeling the impacts of tropical cyclones in the Pacific. Furthermore, he explores the application of machine learning to climate downscaling and emulation. Horvat has a strong academic background with degrees in mathematics and related fields, culminating in a PhD in 2017 from Brown University.
Department: Department of Economics