Public Biography
Dr. Jie Yang is an Assistant Professor at Brigham and Women’s Hospital and Harvard Medical School, specializing in medical informatics, AI in healthcare, and clinical natural language processing (NLP). He is a Fellow of the American Medical Informatics Association (FAMIA), an affiliate faculty member at the Broad Institute of MIT and Harvard and the Harvard Data Science Initiative, and a member of the Technical Advisory Group for the World Health Organization (WHO) Global Clinical Platform.
With a PhD in NLP and deep learning and postdoctoral training in medical informatics, Dr. Yang has an interdisciplinary background bridging AI and healthcare. His expertise includes developing innovative NLP and AI algorithms—particularly large language models (LLMs)—and applying them to analyze large-scale medical datasets, especially electronic health records (EHRs). His research has been widely published in top AI conferences (e.g., NeurIPS, ACL, IJCAI, WWW) and leading medical journals (e.g., NEJM AI, JAMA Network Open, npj Digital Medicine).
Dr. Yang has also contributed extensively to the academic community, serving as an Area Chair for EMNLP (2021–2024) and COLING (2022, 2024), associate editor of npj Digital Medicine, a Senior Program Committee member for the AMIA 2020 Annual Symposium, and a program committee member for premier conferences such as ACL, AAAI, IJCAI, EMNLP, NAACL, AMIA, ICML, and ICLR. His contributions have been recognized through several prestigious awards, including the 2022 World Artificial Intelligence Conference (WAIC) Yunfan Award, the COLING Best Paper Award, an ACL Best Demo Paper Award Nomination in 2018, and the ISTD Best Dissertation Award.
With a PhD in NLP and deep learning and postdoctoral training in medical informatics, Dr. Yang has an interdisciplinary background bridging AI and healthcare. His expertise includes developing innovative NLP and AI algorithms—particularly large language models (LLMs)—and applying them to analyze large-scale medical datasets, especially electronic health records (EHRs). His research has been widely published in top AI conferences (e.g., NeurIPS, ACL, IJCAI, WWW) and leading medical journals (e.g., NEJM AI, JAMA Network Open, npj Digital Medicine).
Dr. Yang has also contributed extensively to the academic community, serving as an Area Chair for EMNLP (2021–2024) and COLING (2022, 2024), associate editor of npj Digital Medicine, a Senior Program Committee member for the AMIA 2020 Annual Symposium, and a program committee member for premier conferences such as ACL, AAAI, IJCAI, EMNLP, NAACL, AMIA, ICML, and ICLR. His contributions have been recognized through several prestigious awards, including the 2022 World Artificial Intelligence Conference (WAIC) Yunfan Award, the COLING Best Paper Award, an ACL Best Demo Paper Award Nomination in 2018, and the ISTD Best Dissertation Award.
Affiliations
Fellows of AMIA (FAMIA)
FAMIA stands for “Fellow of the American Medical Informatics Association” and it recognizes the contributions and professional accomplishments of AMIA members who apply informatics skills and knowledge to their practice – be that in a clinical setting, a public or population health capacity, or as a clinical researcher.
Year Inducted
2025
The American College of Medical Informatics
ACMI is a college of elected Fellows from the U.S. and abroad who have made significant and sustained contributions to the field of medical informatics. It is the central body for a community of scholars and practitioners who are committed to advancing the informatics field.
Year Elected
2025