About me

I am a Ph.D. candidate in the Department of Statistics at the University of Washington. I am fortunate to be advised by Zaid Harchaoui and Soumik Pal. Prior to that, I received my B.S. in mathematics and applied mathematics at Tsinghua University.

I am broadly interested in safe and interpretable statistical machine learning with applications to natural language processing. I am also excited about optimal transport and its applications to statistical inference and machine learning.

Contact me at liu16 [at] uw [dot] edu.


  • 12/31/2022: A new preprint on confident set under generalized self-concordance.
  • 12/31/2022: Our preprint on discrete Schrödinger bridges has been updated.
  • 12/30/2022: A new preprint on automatic comparison measures for generative models.
  • 12/10/2022: A new preprint on spectral risk measures.
  • 12/10/2022: Presentation at PRIMA Optimal Transport And Applications Session on asymptotics of discrete Schrödinger bridges.
  • 12/08/2022: A new preprint on influence diagnostics.
  • 11/18/2022: I am very honored to be awarded the Z.W. Birnbaum Award in the Department of Statistics at UW!
  • 10/21/2022: Presentation at IFDS weekly seminar on confidence set under self-concordance.
  • 10/09/2022: Our paper on meta-learning with heterogeneous covariate spaces has been accepted (with minor revision) at TMLR.
  • 09/22/2022: I defended!