I am a fourth-year Biomedical Engineering undergraduate at Fudan University. During my undergraduate study, I was fortunate to be advised by Professor Zhengzhong Tu at Texas A&M University and Professor Berkin Bilgic at Martinos Center for Biomedical Imaging/Harvard Medical School. Prior to that, I was also an undergraduate research student at Professor Wenqiang Zhang’s team.
My research interest lies in modeling real-world biomedical phenomena and solving corresponding challenges with computational methods, especially machine learning. Specifically, I distill specific problems into rigorous formulations, embedded with domain knowledge, and design tailored algorithms. To achieve this, my research orientation includes two intertwined branches: understanding frontier challenges in domains such as Imaging Neuroscience and Inverse Problems; studying state-of-the-art methodology in self-supervised learning, generative AI, and numerical optimization.
📝 Publications

Xinrui Jiang, Yohan Jun, Jaejin Cho, Mengze Gao, Xingwang Yong, Berkin Bilgic
- We purposed NLCG-Net, a model-based and data-driven framework achieved via self-supervised learning, which incorporates nonlinear conjugate gradient optimization and Neural Network Regularization in a iterative manner and achieves zero-shot quantitative MRI reconstruction. T1, T2 mapping results on phantom and in-vivo data demonstrates NLCG-Net’s superiority on estimation quality at high acceleration.
🎖 Honors and Awards
- 2023.09 SuiWei Scholarship named by Weiqi Wang, Academician, Chinese Academy of Engineering (the first prize, top 1%).
- 2022.12 The First Prize of the 14th Mathematics Competition of Chinese College Students in Shanghai
- 2022.09 National Scholarship of Fudan University (top 1% at Fudan University).
- 2021.12 The First Prize of the 13th Mathematics Competition of Chinese College Students in Shanghai
📖 Educations
- 2021.09 - 2025.06 (now), Fudan University, GPA: 3.81/4.00 (ranking 2/272 among college)
- 2023.09 - 2023.12, University of Toronto, GPA: 3.9/4.0
- 2022.06 - 2022.8, Harvard University Summer School, GPA: 4.0/4.0 (graduate credit)
💻 Internships
- 2024.01 - 2024.04, Machine Learning Engineer, Tiktok (Bytedance), China.