J. Lyle Kim

J. Lyle Kim

Ph.D. student in Computer Science

Rice University

Biography

My legal name is Junhyung Kim (김준형), but I usually go by Lyle. I am a third year Ph.D. student in Computer Science at Rice University, advised by Prof. Anastasios Kyrillidis.

Before joining Rice, I was a research professional at the University of Chicago Booth School of Business supervised by Prof. Panos Toulis and Prof. Sanjog Misra.

I received bachelor’s degrees in Mathematics and Statistics at the University of Chicago in 2017. During my senior year at the college, I also worked with Prof. Mikael Kuusela under the supervision of Prof. Michael L. Stein.

For Summer 2022, I will be joining Meta AI Research as a research intern under the supervision of Dr. Aaron Defazio.

Here is my CV.

Interests

  • Optimization
  • Distributed optimization
  • Machine learning
  • Quantum computing

Education

  • Ph.D. in Computer Science, 2019 - present

    Rice University

  • B.A. in Mathematics; B.A. in Statistics, 2017

    University of Chicago

[09 Jun 2022] Our paper “Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography” has been accepted at the IEEE Control Systems Letters (L-CSS), 2022. This is joint work with M. Taha Toghani, Prof. César A. Uribe, and Prof. Tasos Kyrillidis.

[09 May 2022] I started my research intenship at Meta AI Research under the supervision of Dr. Aaron Defazio.

[23 Mar 2022] Our new paper “Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography” is available on arXiv. This is joint work with M. Taha Toghani, Prof. César A. Uribe, and Prof. Tasos Kyrillidis.

[01 Mar 2022] Our paper “Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum” has been accepted at Learning for Dynamics and Control (L4DC) 2022.

[27 Oct 2021] I presented “Fast quantum state tomography via accelerated non-convex programming” at INFORMS 2021.

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