Using AI to Discover Meaningful Knowledge from Multimodal Representations of Longitudinal Maternal/Fetal Health
The Romano Lab conducts original research at the interface of clinical/translational informatics and environmental health, with particular focus on developing new artificial intelligence (AI) models that explain the biology underlying environmental risk factors and mechanisms of disease. Other areas of research interest include autoimmune-related adverse events, maternal environmental health, and natural products drug discovery. Dr. Romano leads the development of several major biomedical knowledge bases, including ComptoxAI, VenomKB, and the Alzheimer’s Knowledge Base.
*Following registration, a Zoom link will be emailed for the webinar
Speaker
Dr. Joseph D. Romano
Dr. Joseph D. Romano is an Assistant Professor of Informatics at the University of Pennsylvania’s Perelman School of Medicine, in the Department of Biostatistics, Epidemiology, and Informatics. He is a Senior Fellow in Penn’s Institute of Biomedical Informatics and a CEET Investigator in the Center of Excellence in Environmental Toxicology. His research focuses on applying translational bioinformatics and artificial intelligence to environmental toxicology. Visit the Romano Lab website.
Dr. Romano earned a Bachelor of Science degree in Molecular Genetics from the University of Vermont. He then earned PhD, MPhil, and MA degrees at Columbia University where his dissertation focused on using computational approaches to discover therapeutic properties from proteins found in animal venoms. During his time at Columbia, he completed a graduate research fellowship in biomedical informatics sponsored by the US National Library of Medicine. After earning his PhD, he completed a postdoctoral fellowship in environmental health science at the University of Pennsylvania.