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Public Biography
Rui Zhang, PhD, FAMIA is Professor and Founding Chief of Division of Computational Health Sciences and is named as McKnight Presidential Fellow (a distinguished professorship) at the UMN. He is the Director of Natural Language Processing/Information Extraction research program and Scientific Co-Director of Innovative Methods & Data Science program in the Center for Learning Health Systems Science. His research interests include development and applications of clinical natural language processing, text mining, literature-based discovery, complementary and alternative health informatics, nutrition informatics, and artificial intelligence approaches on real-world data. Dr. Zhang's key informatics contributions include (1) developing novel and generalizable NLP/LLM methods for clinical phenotyping, (2) creating foundational informatics resources for clinical research in dietary supplements, and (3) building informatics framework for complementary and integrative medicine for various clinical outcomes. His research has been supported by NCCIH, NIA, NCI, NIDDK, ODS, AHRQ, VA, CDC, and Industry (Medtronic, CISCO, etc). Dr. Zhang serves on multiple study sections and JAMIA Editorial Board, and currently Chair-Elect of AMIA NLP WG.

Historic ACMI Biography

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Dr. Zhang's informatics contributions include developing generalizable NLP/LLM methods for clinical phenotyping, creating foundational informatics resources and framework for supporting dietary supplements research, reasoning the role of complementary and integrative health approaches for clinical outcomes (chronic pain, depression), and novel methods to discover novel knowledge (ADRD drug repurposing).

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
2022
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Natural Language Processing
Working Group

Chair Elect 2024

The mission of the Natural Language Processing is to develop, apply, and promote natural language processing in biomedical science, patient care, public health and biomedical education.

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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
2024
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