I am a third-year PhD student in the Operations Research and Financial Engineering (ORFE) department at Princeton University, co-advised by 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
Black-box Optimization Algorithms for Regularized Least-squares Problems
Yanjun Liu, Kevin H. Lam, Lindon Roberts (2025)
Accepted by IMA Journal of Numerical Analysis
Preprint SoftwareConvergence Analysis of a Stochastic Heavy-ball Method for Linear ill-posed Problems
Qinian Jin, Yanjun Liu (2025)
Journal of Computational and Applied Mathematics
Paper
Talks
25th International Symposium on Mathematical Programming at Montréal, Canada. July 2024
(Abstract, Slides)
Teaching
Princeton University - Teaching Assistant
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