I am currently a Ph.D student in the Machine Learning Program at the School of Mathematics, Georgia Tech. My research interests lie in the theory and application of machine learning, variational inference and high-dimensional statistics.

Before joining Gerogia Tech, I obtained my MS degree in Statistics at the University of Chicago, under the supervision of Lek-Heng Lim and Alexander Strang. I received my bachelor's degrees from the School of EECS and the School of Mathematical Science at Peking University.

Yucong Liu


School of Mathematics
Georgia Institute of Technology
686 Cherry Street


Published Articles

Reading List

  • High-Dimensional Probability Roman Vershynin
  • Randomized numerical linear algebra: Foundations and algorithms Per-Gunnar Martinsson and Joel A. Tropp
  • Randomized Algorithms for Matrix Computations Joel A. Tropp
  • Mathematical Theory of Finite Elements Leszek F. Demkowicz
  • Real Algebraic Geometry Jacek Bochnak , Michel Coste , Marie-Françoise Roy
  • "Once again I had to put myself in a vulnerable position in order to become stronger." ― Cédric Villani, Birth of a Theorem: A Mathematical Adventure
    Plain Academic