Lang Liu

Lang Liu

Quantitative researcher specialized in statistical machine learning and optimal transport

Teaching

Teaching

Tutorial on Optimal Transport in Computational Neuroscience, Neurohackademy, 2020.

Guest lecture on Statistical Machine Learning with Random Features, UW STAT 538, 2022.

I was a teaching assistant for

  • CSE 541 (Winter 2022, UW): Interactive Learning.
  • MATH 394 (Winter 2021, UW): Probability I.
  • STAT 516 (Autumn 2020, UW): Stochastic Modeling.
  • STAT 538 (Winter 2019 & Winter 2020, UW): Statistical Learning: Modeling, Prediction, and Computing.
  • STAT 311 (Autumn 2017 & Winter 2018 & Spring 2018, UW): Elements of Statistical Methods.

Service

Co-founded the Internship Preparation Program in the Department of Statistics at the University of Washington in 2022, which aims to help graduate students in statistics with finding internships in technological and financial companies.

Hosted Machine Learning and Mass Transportation working group at the University of Washington in 2021.

I have been a reviewer for the following venues:

  • Annals of Applied Probability.
  • Journal of Computational and Graphical Statistics.
  • Journal of Machine Learning Research.
  • Journal of Optimization Theory and Applications.
  • Statistics and Computing.
  • AISTATS 2022, ICLR 2023, ICML 2021 & 2022, NeurIPS 2020 & 2021 & 2022.