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Adrián Lozano-Durán is an Associate Professor in the Division of Engineering and Applied Science at the California Institute of Technology. His academic journey began with a Bachelor’s degree in Aerospace from the Polytechnic University of Madrid in 2010, followed by a Master’s in 2012, and culminating in a Ph.D. in 2015. He is a recognized expert in turbulent flow and computational fluid dynamics, focusing on turbulence theory, numerical simulation, and experimental approaches. His work emphasizes the development of machine learning models for closure in computational fluid dynamics, particularly in aerospace applications related to low-speed aerodynamics as well as supersonic and hypersonic flows. Lozano-Durán has also collaborated on research involving causal inference, reduced-order modeling, and control of turbulence using information theory. He is committed to advancing the understanding of complex fluid dynamics phenomena through innovative mathematical frameworks, contributing significantly to his field from both theoretical and practical perspectives.
California Institute of Technology • Pasadena, CA
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