Dr Gonzalez-Hernandez and her team have made available to the health research community novel approaches to complete pipelines for information extraction from different sources using NLP, such as the DeepADRMiner pipeline for extracting and normalizing adverse effects from social media – a unique end-to-end system that makes it possible to tap into the value of direct reports by patients. She has published over 220 peer-reviewed articles in prestigious journals and conferences, routinely making code and datasets available to other researchers, and ensuring reproducibility. These publications span multiple areas of Biomedical Informatics, including natural language processing, bioinformatics, biomedical ontologies, information retrieval,MS and machine learning, as well as domain-specific publications in collaboration with clinicians and epidemiologists. Her work has appeared in the top peer-reviewed journals, including Nature Digital Medicine, JAMA Network Open, Bioinformatics, BMC Bioinformatics, the Journal of the American Medical Informatics Association, and the Journal of Biomedical Informatics, among others, as well as in numerous informatics conference proceedings.
Her experience includes mentoring of more than 50 new faculty investigators, fellows, and graduate students at the MS and PhD levels. Her NIH-funded research includes numerous R01s Ks, and R21s as PI, MPI and collaborator, and led a Data Core for the Arizona Alzheimer’s Disease NIA/NIH P30 for 8 years and more recently funded NIA P30 – the Penn AI Tech ADRD Pilot Core. Her research has also been funded by the CDC, the FDA, and the National Board of Medical Examiners.