cv
Education, appointments, funding, honors, editorial service, and patents. The full Harvard-format CV is available as a PDF above.
Contact Information
| Name | Xiang Li |
| Professional Title | Assistant Professor of Radiology, Harvard Medical School |
| xiangli.shaun@gmail.com | |
| Location | 399 Revolution Dr., 11th Floor, Somerville, Massachusetts MA 02145 |
Professional Summary
Assistant Professor in the Department of Radiology at Massachusetts General Hospital and Harvard Medical School, and Affiliate Faculty at the Harvard Kempner Institute. Research spans medical foundation models, generative AI, expert-machine alignment, medical informatics, and counterfactual causal inference.
Experience
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2023 - present Cambridge, MA
Affiliate Faculty Member
Harvard University — Kempner Institute for Natural and Artificial Intelligence
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2023 - present Boston, MA
Assistant Professor, Department of Radiology
Harvard Medical School
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2019 - present Boston, MA
Research Staff, Department of Radiology
Massachusetts General Hospital
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2019 - 2023 Boston, MA
Instructor, Department of Radiology
Harvard Medical School
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2016 - 2019 Boston, MA
Research Fellow, Radiology
Harvard Medical School and Massachusetts General Hospital
- Mentors: Associate Prof. Quanzheng Li and Distinguished Prof. James H. Thrall.
Education
University of Georgia
Shanghai Jiao Tong UniversityCurrent Research Funding
- 2026–2030 · 360° Collaborative Hub for AI in TMD Research (360° Chat-TMD) — NIH U54, 1U54DE035412-01. Co-Investigator; direct cost $5,584,812 over 5 years. Establishing a Center of Excellence in TMD research, training and outreach.
- 2026–2029 · UniBrain: An End-to-End Unified Toolkit for Comprehensive Neuroimaging Analysis — NIH R01, 1R01EB038264-01A1. Multiple PI; direct cost $2,525,515 over 4 years. Developing AI-empowered technologies for neuroimaging analysis.
- 2026–2029 · Automated PET Report Generation with Visual Grounding — NIH R01, 1R01EB038426-01. Subcontract PI (MGH); direct cost $2,304,244 over 4 years. Visually grounded PET report generation using federated learning.
Honors and Awards
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2025 Editor's Choice Article
Medical Physics
Fine-tuning open-source large language models to improve their performance on radiation oncology tasks.
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2025 Featured Article
IEEE Reviews in Biomedical Engineering
Artificial General Intelligence for Medical Imaging Analysis.
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2024 Distinguished Paper Award
American Medical Informatics Association (AMIA)
MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering.
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2024 Research Scholar Program Award
Google Inc.
Tailoring Large Language Models for the Diagnosis and Management of Late-life Depression Patients.
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2022 Best Paper Award
IEEE Transactions on Radiation and Plasma Medical Sciences
Deep Learning-Based Image Segmentation on Multimodal Medical Imaging.
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2021 MGH Thrall Innovation Grants Award
Massachusetts General Hospital
Chest Radiographs-based Lung Cancer Screening by the DeepProjection Technique.
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2020 Best Paper Award
IEEE International Symposium on Biomedical Imaging (ISBI)
ASCNet: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning.
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2018 Most Cited Article
Journal of the American College of Radiology
Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls.
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2016 Outstanding Graduate Dissertation/Thesis
University of Georgia
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2015 Cover and Feature Paper
IEEE Transactions on Biomedical Engineering
Holistic atlases of functional networks and interactions.
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2013 Best Student Paper Award
IEEE International Symposium on Biomedical Imaging (ISBI)
Discovering Common Functional Connectomics Signatures.
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2011 Best Student Paper Award
IEEE International Symposium on Biomedical Imaging (ISBI)
Brain State Change Detection via Fiber-centered Functional Connectivity Analysis.
Editorial Service
- IEEE Transactions on Medical Imaging — Guest Associate Editor
- Proceedings of the National Academy of Sciences (PNAS) — Ad-hoc Editor
- Data Intelligence — Associate Editor
- IEEE Transactions on Artificial Intelligence — Associate Editor
- Meta-Radiology — Associate Editor
- BMC Biomedical Engineering — Associate Editor
- BMC Artificial Intelligence — Associate Editor
- Connected Health and Telemedicine — Associate Editor
- Frontiers in Oncology, Radiology, Neuroscience, and Cardiovascular Medicine — Associate Editor
- Neurocomputing — Guest Editor, Special Issue on Recent Advancements in Foundation Models
- IEEE Transactions on Neural Networks and Learning Systems — Guest Editor, Special Issue on Advancements in Foundation Models
Grant Review Service
- Dutch Research Council (NWO), Open Technology Programme — Ad hoc Reviewer
- Society of Nuclear Medicine and Molecular Imaging, Bradley-Alavi Student Fellowship — Study Section Member
- NIH BRAIN Initiative, ZMH1 ERB-E (03) S — Ad hoc Reviewer
- NIH, Academic-Industrial Partnerships PAR Panel, ZRG1 CTH-E (57) — Ad hoc Reviewer
Patents
- System and Method for Tokenization of Anatomical Structures for Medical Imaging — anatomy-aware tokenization of 2D and 3D medical images as semantic disentangled token groups.
- System and Method for Synthesizing 3D Volumetric Medical Images Using a Probabilistic-Based Machine Learning Model — pose-conditioned diffusion models synthesizing high-resolution 3D CT-like volumes from standard 2D radiographs.
- Automated Detection and Management of Valvular Heart Disease Using Machine Learning (2024) — Aortic Stenosis Ensemble Risk Prediction (AS-ERP) model predicting length of stay and readmission from EMR data.