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Navid Azizan

Assistant Professor, Department of Mechanical Engineering and the Institute for Data, Systems, and Society

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AI Safety Machine Learning Networks Optimization

Navid Azizan is an assistant professor and the Esther and Harold E. Edgerton Career Development Professor at MIT with dual appointments in the Department of Mechanical Engineering and the Institute for Data, Systems, and Society, as part of the School of Engineering and the Schwarzman College of Computing. His research interests broadly lie in machine learning and AI, optimization, dynamical systems and control theory, and network science. His lab focuses on various aspects of creating intelligent systems, with an emphasis on principled learning and optimization algorithms for autonomous systems and smart grids. Prior to MIT, he was a postdoctoral fellow in the Autonomous Systems Laboratory at Stanford University. He obtained his PhD in computing and mathematical sciences from the Caltech, an MSc from the University of Southern California, and his BSc from Sharif University of Technology. Additionally, he was a research scientist intern at Google DeepMind and the recipient of several awards, including the Amazon Fellowship in Artificial Intelligence, the PIMCO Fellowship in Data Science, the Caltech CMS Fellowship, and the USC Provost’s Fellowship.

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