Engineering

LIN F. YANG

Dr. Lin Yang (杨林) is currently an Associate Professor (tenured, 2025/07-) in the Electrical and Computer Engineering Department at the University of California, Los Angeles.

His research focuses on the foundations of modern machine learning and data science. He develops fast algorithms with provable guarantees, especially in reinforcement learning, large language model acceleration, non-convex optimization, and streaming algorithms. He is particularly interested in safe and efficient decision-making under uncertainty, bridging theoretical insights with real-world impact in areas such as healthcare, robotics, and scientific discovery.

Dr. Yang is a recipient of an Amazon Faculty Award, the Simons Research Fellowship, Dean Robert H. Roy Fellowship, and the JHU MINDS Best Dissertation Award. Prior to joining UCLA, he was a postdoctoral researcher at Princeton University working with Prof. Mengdi Wang. He received dual Ph.D. degrees in Computer Science and in Physics & Astronomy from Johns Hopkins University, advised by Alex Szalay and Vova Braverman.

[Last updated Mar. 2025]

Publications

Service

  • Area Chair: ICLR, AISTATS, ICML, NeurIPS
  • Senior Program Committee: AAAI
  • Conference Reviewing: AAAI, ICML, NeurIPS, STOC, FOCS, COLT, PODS, ITCS, ACML, AISTATS, ICALP, RANDOM, ESA, LATIN, KAIS, FSTTCS
  • Journal Reviewing: Theoretical Computer Science, QIC, JCSS, OPRE, TMLR

Education

Johns Hopkins University, Baltimore, MD
  • Ph.D. in Computer Science, Advisors: Vladimir Braverman, Alex Szalay
  • Ph.D. in Physics & Astronomy, Advisor: Alex Szalay
  • MS.E. in Computer Science (GPA 4.0/4.0)
Tsinghua University, Beijing, China
  • B.S. in Math & Physics with High Honors

Contact Me

Email: linyang[at]ee[dot]ucla[dot]edu

My middle name Forrest is a translation of my first name (林). My publication name is Lin F. Yang -- to distinguish me from many Lin Yang's. Note that my official name (Lin Yang OR 杨林) does not contain a middle name.