Reza Eghbali

Reza Eghbali is currently a Research Fellow at the Simons Institute for the Theory of Computing, focusing on online optimization, machine learning algorithms, and computational neuroscience with emphasis on visual cortex modeling. His work bridges theoretical computer science, mathematical optimization, and neurobiological systems.

His academic background includes:

• PhD in Electrical Engineering and MSc in Mathematics from the University of Washington, Seattle
• Bachelor's degree in Electrical Engineering from Sharif University of Technology, Tehran

Dr. Eghbali's research integrates mathematical optimization with computational neuroscience, developing dynamic decision-making frameworks for machine learning while creating biologically plausible models of visual processing. His work demonstrates strong interdisciplinary connections between theoretical computing and neural systems.

He has participated in multiple Simons Institute programs:

• The Brain and Computation (Spring 2018) as Research Fellow
• Bridging Continuous and Discrete Optimization (Fall 2017) as Research Fellow
• Foundations of Machine Learning (Spring 2017) as Visiting Graduate Student

His research trajectory shows consistent focus on optimization theory applied to both machine learning systems and neural computation models, with increasing specialization in visual cortex simulations.