Melika Emami

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Ph.D. Candidate,
Department of Electrical and Computer Engineering,
University of California, Los Angeles (UCLA).
Contact: emami [at] ucla [dot] edu

Google Scholar

About Me

I am a Ph.D. candidate in the ECE department at UCLA working under the supervision of Prof. Alyson Fletcher and Prof. Sundeep Rangan. I received my Master’s degree at UCLA in 2018, and my Bachelor's degree at University of Tehran in 2016, both in Electrical and Computer Engineering.

Research Interests

My research is focused on theoretical machine learning with the broad goal of understanding the asymptotics of learning in deep neural networks. I apply tools from high-dimensional statistics and large-scale optimization to provide rigorous theoretical guarantees for learning and generalization in machine learning problems. I am also interested in high-dimensional time series models with applications to computational neuroscience such as modeling complex neural sensory responses in the brain.


  • May 2022: I will give a talk in the Math Machine Learning seminar at the Max Planck Institute for Mathematics in the Sciences and UCLA (MPI MiS + UCLA). [video and abstract]

  • July 2021: Presenting our paper at ICML 2021. [video]

  • March 2021: I will join Microsoft as a Research Intern in Spring 2021.

  • March 2021: I am a Ph.D Candidate now.

  • February 2020: Presenting our recent work at ITA 2020, San Diego, CA.

  • October 2019: Presenting our recent work at DeepMath 2019, New York, NY. [poster]

  • November 2018: Presenting our recent work at Society for Neuroscience Meeting 2018, San Diego, CA. [poster]