Xiang Li

Assistant Professor, Department of Radiology, Massachusetts General Hospital and Harvard Medical School. Affiliated Faculty, Harvard Kempner Institute.

xiang.jpg

399 Revolution Dr., 11th Floor

Somerville, MA 02145

I am an Assistant Professor in the Department of Radiology at Massachusetts General Hospital and Harvard Medical School, and affiliated faculty at the Harvard Kempner Institute. My lab works on medical foundation models, generative AI, expert-machine alignment, medical informatics, and counterfactual causal inference — building models that clinicians can actually reason with, not just query.

I received my Ph.D. in Computer Science from the University of Georgia under Distinguished Professor Tianming Liu (AIMBE Fellow), and completed postdoctoral training at MGH/HMS with Associate Prof. Quanzheng Li and Distinguished Professor James H. Thrall.

I have published over 250 papers with more than 17,000 citations and an h-index of 60. I serve as Associate Editor for IEEE Transactions on Medical Imaging and Data Intelligence, as founding chair of MICCAI and NeurIPS workshops on medical foundation models, and as Area Chair for NeurIPS, KDD, AAAI, ACM MM, and MICCAI.

news

Sep 21, 2026 Happy to know that we’ll start our Automated PET Report Generation with Visual Grounding project under the support from NIH (1R01EB038426-01).
Sep 12, 2026 OpenSkill: Open-World Self-Evolution for LLM Agents is accepted by EMNLP 2026. This work asks whether an agent can evolve given nothing but a task prompt, building both its skills and its own verification from documentation and repositories.
Sep 12, 2026 Happy to know that we’ll start our UniBrain: An End-to-End Unified Toolkit for Comprehensive Neuroimaging Analysis project under the support from NIH (1R01EB038264-01A1).
Aug 09, 2026 LiveMedBench: A Contamination-Limited Medical Benchmark for LLMs is accepted by KDD 2026.
Jul 26, 2026 Honored to serve as the Associate Editor of IEEE Transactions on Medical Imaging.

selected publications

  1. Metis AI: The Overlooked Middle Zone Between AI-Native and World-Movers
    Xiang Li
    arXiv preprint arXiv:2605.14407, 2026
  2. Interpretable agentic AI system with localized reasoning for radiology
    Wenting Chen, Yi Dong, Zhaojun Ding, Yucheng Shi, Fang Zeng, Yifan Zhou, Huaqin Zhao, Yijun Luo, Tianyu Lin, Yihang Su, Yichen Wu, Jasmine Liu, Kai Zhang, Wenxuan Wang, Zhen Xiang, Tianming Liu, Ninghao Liu, Quanzheng Li, Lichao Sun, Yixuan Yuan, and Xiang Li
    npj Digital Medicine, 2026
  3. Towards a general-purpose foundation model for functional MRI analysis
    Cheng Wang, Yu Jiang, Zhihao Peng, Chenxin Li, Chang-bae Bang, Lin Zhao, Wanyi Fu, Jinglei Lv, Jorge Sepulcre, Carl Yang, Lifang He, Tianming Liu, Xue-Jun Kong, Quanzheng Li, Daniel S Barron, Anqi Qiu, Randy Hirschtick, Byung-Hoon Kim, Hongbin Han, Xiang Li, and Yixuan Yuan
    Nature Biomedical Engineering, 2026
  4. ECHOPulse: ECG Controlled Echocardio-gram Video Generation
    Yiwei Li, Sekeun Kim, Zihao Wu, Hanqi Jiang, Yi Pan, Pengfei Jin, Sifan Song, Yucheng Shi, Xiaowei Yu, Tianze Yang, Tianming Liu, Quanzheng Li, and Xiang Li
    In International Conference on Learning Representations, 2025
  5. Radiology-GPT: a large language model for radiology
    Zhengliang Liu, Yiwei Li, Peng Shu, Aoxiao Zhong, Hanqi Jiang, Yi Pan, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Cheng Chen, Sekeun Kim, Haixing Dai, Lin Zhao, Lichao Sun, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Quanzheng Li, Tianming Liu, and Xiang Li
    Meta-Radiology, 2025
  6. A generalist vision–language foundation model for diverse biomedical tasks
    Kai Zhang, Rong Zhou, Eashan Adhikarla, Zhiling Yan, Yixin Liu, Jun Yu, Zhengliang Liu, Xun Chen, Brian D Davison, Hui Ren, Jing Huang, Chen Chen, Yuyin Zhou, Sunyang Fu, Wei Liu, Tianming Liu, Xiang Li, Yong Chen, Lifang He, James Zou, Quanzheng Li, Hongfang Liu, and Lichao Sun
    Nature Medicine, 2024
  7. Eye-gaze guided multi-modal alignment for medical representation learning
    Chong Ma, Hanqi Jiang, Wenting Chen, Yiwei Li, Zihao Wu, Xiaowei Yu, Zhengliang Liu, Lei Guo, Dajiang Zhu, Tuo Zhang, Dinggang Shen, Tianming Liu, and Xiang Li
    Advances in Neural Information Processing Systems, 2024