Reza Eghbali received his Ph.D. in Electrical Engineering and a master's degree in Mathematics from the University of Washington, Seattle. He has a B.Sc. in Electrical Engineering from Sharif University of Technology, Tehran. Before joining Innovate For Health, Reza was a member of the machine learning and security team at Cisco Tetration Analytics, where he developed and implemented online learning algorithms for detecting network security threats in real-time. Reza was a Simons Institute Research Fellow at UC Berkeley in the 2017-18 academic year. He visited the institute for the programs on “Bridging Continuous and Discrete Optimization” and “Brain and Computation,” where he worked on modeling the corticothalamic feedback in the early visual system. His research interest lies in the areas of optimization algorithms, machine learning, and computational neuroscience.
Computational Neuroscience, Distributed Computing for Big Data, Machine/Deep Learning, Network Security, Optimization Algorithms