Public Biography
My research focuses on integrative artificial intelligence for biomedical and clinical data science, combining machine learning, generative AI, deep learning, natural language processing, and knowledge representation to address challenges in clinical decision making, clinical trials, and chronic disease management. Our work advances human-in-the-loop AI methods that incorporate clinical expertise through biomedical ontologies to improve model training, feature engineering, interpretability, and generalizability. We applied these approaches across epilepsy, Parkinson’s disease, movement disorders, pediatric ophthalmology, and electronic health record–based research. Our contributions also include semantic provenance, FAIR data reuse, scientific reproducibility, multimodal biomarker discovery, clinical decision support, and topological modeling of complex brain network dynamics.
Webpage: https://bmhinformatics.case.edu/
Webpage: https://bmhinformatics.case.edu/
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
2021