Cesar A. Uribe

Postdoctoral Associate, LIDS

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Cesar A. Uribe received the M.Sc. degrees in systems and control from Delft University of Technology, in The Netherlands, and in applied mathematics from the University of Illinois at Urbana-Champaign, in 2013 and 2016, respectively. He also received the PhD degree in electrical and computer engineering at the University of Illinois at Urbana-Champaign in 2018. He is currently a Postdoctoral Associate in the Laboratory for Information and Decision Systems-LIDS at the Massachusetts Institute of Technology-MIT. His research interests include distributed learning and optimization, decentralized control, algorithm analysis, and computational optimal transport. His research goal is to advance the mathematical foundations of optimization and to develop efficient algorithms to solve huge-scale data processing and analysis problems over networks. He is particularly interested in the design of scalable distributed optimization algorithms that execute over networks and perform as well as their centralized counterparts and their applications to statistical inference and belief systems.