I am a second-year PhD student in the Operations Research and Financial Engineering (ORFE) department at Princeton University, co-advised Prof. Amirali Ahmadi and Prof. Bartolomeo Stellato. I am broadly exploring my research interests in mathematical optimization, including algorithm design and optimization under uncertainty. Prior to Princeton, I obtained my undergraduate degree in Mathematics from the Australian National University, where I was very fortunated to be advised by Prof. Qinian Jin and worked with Prof. Lindon Roberts.

Education

PhD in Operations Research and Financial Engineering, Princeton Unviersity, August 2023 - July 2027 (expected)

Bachelor of Mathematical Sciences (Honours), Australian National University, February 2020 – July 2023

Publications

  • Convergence Analysis of a Stochastic Heavy-ball Method for Linear ill-posed Problems
    Qinian Jin, Yanjun Liu (2025)
    Journal of Computational and Applied Mathematics
    Paper

  • Black-box Optimization Algorithms for Regularized Least-squares Problems
    Yanjun Liu, Kevin H. Lam, Lindon Roberts (2024)
    Preprint Software

Talks

25th International Symposium on Mathematical Programming at Montréal, Canada. July 2024
(Abstract, Slides)

Teaching

Princeton University - Teaching Assistent

  • (Fall 2024) ORF522 Linear and Nonlinear Optimization
  • (Spring 2025) ORF307 Optimization

Australian National University - Demonstrator

  • (S1 2023) MATH2320 Advanced Analysis 1: Metric Spaces and Applications
  • (S2 2022) COMP3670 Introduction to Machine Learning
  • (S2 2022) COMP2400 Relational Databases
  • (S1 2021) Joint ANU-Shandong University Course MA1: Mathematical Abstraction 1

Awards