B.Sc. (Sharif University of Technology), M.Sc. and Ph.D. (Stanford University)
Assistant Professor

Machine Learning, Optimization, Information Theory

Research Areas
  • Artificial Intelligence
    • Deep Learning
    • Machine Learning
  • Computer Theory
    • Optimization
    • Theory and Algorithms



Farzan Farnia is an assistant professor at the Department of Computer Science and Engineering at the Chinese University of Hong Kong. Prior to joining CUHK, he was a postdoctoral research associate at the Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, from 2019-2021. He received his M.Sc. and Ph.D. degrees in electrical engineering from Stanford University and his B.Sc. degree in electrical engineering and mathematics from Sharif University of Technology. At Stanford, he was a graduate research assistant at the Information Systems Laboratory advised by David Tse. Farzan’s research interests include machine learning, deep learning theory, optimization, and information theory. He has been the recipient of a Stanford Graduate Fellowship from 2013-2016 and the Numerical Technology Founders Prize as the second top performer of Stanford Electrical Engineering Ph.D. Qualifying Exams in 2014.

  • Awarded Numerical Technology Founders Prize, 2014
  • Second Top Performer of Stanford Electrical Engineering Ph.D. Qualifying Exams, 2014
  • Awarded Stanford Graduate Fellowship, 2013