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BioDr. Navid Azizan is an incoming tenuretrack professor at the Massachusetts Institute of Technology (MIT), with joint appointments in MechE and IDSS. His research interests broadly lie in machine learning, mathematical optimization, control theory, and network science. He has made contributions to various aspects of largescale intelligent systems, such as the design and analysis of optimization algorithms for nonconvex and networked problems, with applications in deep learning, the smart grid, distributed computation, and epidemics. He obtained his PhD degree in computing and mathematical sciences from the California Institute of Technology (Caltech), where he was a member of DOLCIT, RSRG, and SISL, jointly advised by Adam Wierman and Babak Hassibi. He was also a research scientist intern at Google DeepMind in 2019. He is the recipient of several awards, including the 2020 ITA GraduationDay Gold Award, the 2016 ACM GREENMETRICS Best Student Paper Award, the Amazon Fellowship in Artificial Intelligence, the PIMCO Fellowship in Data Science, the Caltech CMS Fellowship, and the USC Provost's Fellowship. He was also the firstplace winner and a gold medalist at the 2008 National Physics Olympiad in Iran. Research Interests
Employment
Education
Representative PublicationsFoundations of Deep Learning
Markets for the Smart Grid
Algorithms for Distributed Optimization
Epidemics in Complex Networks
