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Navid Azizan is an Assistant Professor at the Massachusetts Institute of Technology in the Department of Mechanical Engineering and the Institute for Data, Systems, and Society. His research focuses on the intersection of machine learning and physical systems, emphasizing trustworthy machine learning and mathematical optimization. He specializes in control theory for dynamical systems and examines safety-critical systems and autonomy. Azizan is also engaged in scientific machine learning and network science, aiming to advance the understanding and application of machine learning in various engineering disciplines.