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
PaperBlack-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
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
- SEAS Travel Grant Award for attending ISMP 2024, Princeton University, 2024
- Gordon Wu Fellowship, Princeton University, 2023 - 2027
- Hanna Neumann Prize for Mathematics IV (Honours), Australian National University, 2023
- Alan McIntosh Prize for Third Year Mathematics, Australian National University, 2021