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BioNavid Azizan is an Assistant Professor at the Massachusetts Institute of Technology (MIT) in the Laboratory for Information & Decision Systems (LIDS), the Department of Mechanical Engineering (MechE), and the Institute for Data, Systems, and Society (IDSS), as part of the new College of Computing. His research interests broadly lie in machine learning and AI, optimization, dynamical systems and control theory, and network science. His research lab focuses on various aspects of enabling large-scale intelligent systems, with an emphasis on principled learning and optimization algorithms, with applications in autonomous systems and societal networks. He obtained his PhD in Computing and Mathematical Sciences (CMS) from the California Institute of Technology (Caltech), co-advised by Babak Hassibi and Adam Wierman, in 2020, his MSc in electrical engineering from the University of Southern California in 2015, and his BSc in electrical engineering with a minor in physics from Sharif University of Technology in 2013. Prior to joining MIT, he completed a postdoc in the Autonomous Systems Laboratory (ASL) at Stanford University from December 2020 to August 2021. Additionally, he was a research scientist intern at Google DeepMind in 2019. His work has been recognized by several awards, including the 2020 Information Theory and Applications (ITA) Gold Graduation Award and the 2016 ACM GreenMetrics Best Student Paper Award. He was named an Amazon Fellow in Artificial Intelligence in 2017 and a PIMCO Fellow in Data Science in 2018. He was also the first-place winner and a gold medalist at the 2008 National Physics Olympiad in Iran. Research Interests
Employment
Education
Representative PublicationsDeep Learning and Autonomy
Foundations of Deep Learning
Markets for the Smart Grid
Algorithms for Distributed Computation
Spreading Processes in Complex Networks
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