Dr. Graciela Gonzalez-Hernandez is Vice Chair for Research and Education in the newly founded Department of Computational Biomedicine at Cedars-Sinai Medical Center, a research hospital in Beverly Hills that was ranked #1 in California and #2 in the nation by US News and World Reports in 2022. She was previously faculty of the Perelman School of Medicine, at the University of Pennsylvania. Dr. Gonzalez-Hernandez is an internationally recognized expert and leader in natural language processing, artificial intelligence, and machine learning methods for knowledge discovery. Her team has created state-of-the-art methods for extracting unstructured information from clinical records, journal articles, and social media postings to elucidate data patterns, trends, and relationships that can aid the discovery process in areas such as pharmacoepidemiology, clinical research, or public health monitoring and surveillance. She has given more than 30 talks in the last 6 years in Switzerland, Japan, England, Ireland, Brussels, Amsterdam, Mexico, and the United States, among others. Her research on Social Media Mining was highlighted by the Washington Post in 2022. She serves as a member of the Advisory Council for Intramural Research at the National Library of Medicine, and has published over 210 papers in top scientific journals, including Nature Digital Medicine and JAMA Network Open.
Historic ACMI Biography
Dr. Gonzalez-Hernandez is an expert in biomedical NLP, consistently developing and sharing SOA methods for information extraction and knowledge discovery. She routinely leads successful collaborations with clinicians and domain experts and has contributed to national efforts at AMIA and at the NLM, a champion for diversity, prolific author and mentor.
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.