Graciela Gonzalez Hernandez, MS, PhD
Associate Professor of Informatics
Dr. Gonzalez Hernandez is a recognized expert and leader in natural language processing (NLP) applied to bioinformatics, medical/clinical informatics, and public-health informatics. After 11 years at the Department of Biomedical Informatics at Arizona State University, she joined the University of Pennsylvania and established the Health Language Processing Lab within the Institute of Biomedical Informatics. Her recent work focuses on NLP applications for public-health monitoring and surveillance and is funded by R01 grants from the National Library of Medicine and the National Institute of Allergy and Infectious Diseases.
Her work on social media mining for pharmacovigilance has resulted in 10 publications in prestigious conferences and journals. Examples include work on ADR extraction in the Journal of the American Medical Informatics Association (JAMIA) and on prescription-drug abuse in Drug Safety. A Journal of Biomedical Informatics publication was selected as one of Elsevier/Atlas’s 10 articles with greatest potential social impact, an honor among papers in more than 2500 journals. Her work in this area also caught the attention of the FDA, which awarded her a grant to develop these methods for monitoring nutritional supplements.
Her work on enriching geospatial information for phylogeography, in collaboration with Dr. Matthew Scotch, uses NLP for the automatic extraction of relevant geospatial data from the literature and for linkage to GenBank records. Preliminary work in this area resulted in publications in JAMIA and in Oxford Bioinformatics, and in and a presentation at ISMB in Dublin in 2015.
Dr Gonzalez served as a member of the NIH BLIRC panel from 2008 to 2013. She is a regular reviewer for a number of prestigious journals and conferences, including PLoS One, PLoS Computational Biology, JAMIA and BMC Bioinformatics. Her prior funding also included funding under the Arizona Alzheimer's Disease Center, a P30 NIA Center, as director of the Data Core from 2008 to 2016.