Jie Yang, PhD, FACMI, FAMIA
Assistant Professor, Harvard Medical School Lead Investigator, Brigham and Women’s Hospital
Biography
Jie Yang is an assistant professor at Harvard University (Harvard Medical School) and a lead investigator at Harvard-affiliated Brigham and Women’s Hospital. He is a Fellow of the American College of Medical Informatics (FACMI) and a Fellow of the American Medical Informatics Association (FAMIA).
His research interests focus on AI in healthcare, especially clinical natural language processing (NLP) and large language models (LLMs). He has developed popular NLP tools including NCRF++ and YEDDA, which have attracted more than 5000 stars on GitHub.
Dr. Yang serves as an associate editor at IEEE Transactions on Neural Networks and Learning Systems (TNNLS) and npj Digital Medicine. He is a member of the Technical Advisory Group of the World Health Organization (WHO) Global Clinical Platform.
Affiliations
- Harvard Medical School - Assistant Professor
- Brigham and Women’s Hospital - Lead Investigator
- Broad Institute of MIT and Harvard - Affiliated Faculty
- Harvard Data Science Initiative - Affiliated Faculty
- Kempner Institute of Harvard University - Affiliated Faculty
Education
Postdoctoral Fellow (AI in Healthcare) Harvard University, 2018 - 2020
Ph.D. (Natural Language Processing) Singapore University of Technology and Design (SUTD), 2014 - 2018
Visiting Student (Artificial Intelligence) University of Oxford, 2017
M.S. (Electronics) University of Chinese Academy of Sciences, 2011 - 2014
B.S. (Electronics and Physics, Double Degree) Chongqing University, 2007 - 2011
Honors & Awards
- BWH DOM Chair’s Research Award, 2025
- Fellow of the American College of Medical Informatics (FACMI), 2025
- Fellow of the American Medical Informatics Association (FAMIA), 2024
- Goldberg Scholarship Award, 2025
- NIH R01 Grants (NLM & NIA), 2025
- Yunfan Award, World Artificial Intelligence Conference, 2022
- Best Paper Award, COLING 2018
- Best Demo Paper Nomination, ACL 2018
- ISTD Best Dissertation Award, SUTD, 2018
- Nvidia GPU Grant, 2019
Selected Service
- Associate Editor: IEEE TNNLS, npj Digital Medicine
- Area Chair: EMNLP 2021/2022, COLING 2022
- Technical Advisory Group Member: WHO Global Clinical Platform
- Editorial Board Member: International Journal of Medical Informatics
- Standing Reviewer: Computational Linguistics
- Scientific Program Committee: AMIA Annual Symposium
Contact
Email: jyang66##bwh.harvard.edu (replace ## with @)
Address: 75 Francis Street Boston, MA 02115