Research Description
I am advised by Prof. Yuexi Wang, and my current research focuses on developing efficient algorithms for simulation-based inference problems. I am also broadly interested in statistical machine learning and Bayesian inference.
Education
- PhD candidate in Statistics, UIUC, Aug. 2023 - present
- M.S. in Statistical Science, Duke University, Aug.2021 - May. 2023
- B.S. in Statistics, Shanghai University of Finance and Economincs, Sept. 2017 - Jun. 2021
Recent Publications
- Haoyu Jiang, Yuexi Wang and Yun Yang (2025) Simulation-based Inference via Langevin Dynamics with Score Matching. (submitted)
- Haoyu Jiang and Jason Xu (2024) The Stochastic Proximal Distance Algorithm. Statistics and Computing, 34(210)