YLab @ Harvard Medical School
YLab is an interdisciplinary research group led by Prof. Jie Yang at Harvard Medical School. Dr. Yang is an assistant professor at Harvard University, and a lead investigator at Brigham and Women’s Hospital, affiliated faculty at Broad Institute of MIT and Harvard, Harvard Data Science Initiative, and Kempner Institute of Harvard University.
Research
Our interests focus on AI in healthcare and clinical natural language processing:
- Clinical natural language processing and large language models in healthcare
- Disease prediction using electronic health records and clinical data
- Efficient feature extraction from EHR and insurance claims
- AI for real-world clinical evidence generation
- Open-source tools and datasets that accelerate healthcare AI research
Funding
We gratefully acknowledge support from:
As PI or MPI, Dr. Yang has led research projects supported by approximately $6 million in funding from the NIH, FDA, PCORI, and Mass General Brigham.
Prospective Students
We welcome students, trainees, and collaborators from Harvard, MIT, and other institutes in the greater Boston area. For Harvard undergraduates, Dr. Yang can enroll students through KURE/KRANIUM programs at Kempner Institute.
Resources available:
- Over 200 million real-world EHR notes for 2M+ patients, and more
- 100 open-access clinical text datasets
- 20 Advanced GPUs (8 H100, 4 H200, 8 RTX Pro 6000)
Interested? Email jyang66##bwh.harvard.edu (replace ## with @) with your CV.
News
2025/12 - Honored to receive BWH DOM Chair’s Research Award!
2025/09 - Honored to be elected a Fellow of the American College of Medical Informatics (FACMI)!
2025/09 - Glad to receive two NIH R01 grants: one from NLM and one from NIA!
2025/04 - We present our real-world clinical practice benchmark BRIDGE!
2025/01 - Dr. Yang is invited as an associate editor at TNNLS and npj Digital Medicine!
2025/01 - Dr. Yang received the Goldberg Scholarship Award!
2025/01 - One paper accepted by Journal of Biomedical Informatics!
2024/12 - New paper accepted by npj Digital Medicine!
2024/11 - Dr. Jie Yang has been selected as a Fellow of AMIA (FAMIA)!
2024/11 - Our work at NEJM AI included in AMIA Informatics Year in Review!
2024/08 - Our work on LLMs for postmarketing surveillance published at JAMA Network Open!
2024/06 - Our review of clinical text datasets accepted by NEJM AI!
2024/04 - Papers accepted at JAMIA and IJCAI!
2024/02 - Selected as member of WHO Technical Advisory Group!
