WASHINGTON, DC — The American Medical Informaticians Association (AMIA) is proud to announce the 2025 Signature Awards recipients. The following leaders will receive their awards at the AMIA 2025 Annual Symposium in Atlanta during the State of the Association meeting on Tuesday, November 18.
The AMIA Signature Awards program recognizes AMIA members at different stages of their careers for their significant contributions to the field of informatics. The Awards Committee Meeting is an opportunity to celebrate talent and highlight presentations of leadership, innovation, and professional achievement.
The Annual Symposium is the world’s premier meeting for research and practice of biomedical and health informatics. The work presented spans the spectrum of the informatics field: translational bioinformatics, clinical research informatics, clinical informatics, consumer health informatics and public health informatics.
2025 AMIA Signature Awards
New Investigator Award
A Jay Holmgren, PhD
William W. Stead Award for Thought Leadership in Informatics
Peter J. Embí, MD, MS, FACMI, FAMIA, FIAHSI
Don Detmer Award for Health Policy Contributions in Informatics
Anthony Solomonides, PhD, MSc(Math), MSc(AI), FAMIA, FACMI
Virginia K. Saba Informatics Award
Gregory Alexander, PhD, RN, FAAN, FACMI, FIAHSI
Donald A.B. Lindberg Award for Innovation in Informatics
Chunhua Weng, PhD, FACMI, FIAHSI
First Annual Patricia Flatley Brennan Award for Informatics Team Science
Patricia Brennan, RN, PhD, FACMI
Edward H. Shortliffe Doctoral Dissertation Award
First Prize
- Yi Lin, The Hong Kong University of Science and Technology
Toward Efficient Yet Effective Algorithms for Medical Image Segmentation
Honorable Mention
Finalist
- Yue Guo, University of Washington, Seattle
Making Health Knowledge Accessible Through Personalized Language Processing - Adriene Pichon, Columbia University
Supporting the Work of Patients and Providers in Complex Chronic Illness - ChangChang Yin, The Ohio State University
Actionable Deep Learning Methods on Multi-Modal Electronic Health Records