Welcome to the Romano Lab @ Penn
Knowledge-Driven Translational Bioinformatics
About Us
We're a team of informaticians dedicated to improving healthcare by discovering the mechanisms and risk factors underlying complex diseases. We combine AI methods with structured biomedical knowledge to gain new data-driven insights into human health.
Our lab is part of the Department of Biostatistics, Epidemiology and Informatics in the Perelman School of Medicine of the University of Pennsylvania. We're affiliated with the Penn Institute for Biomedical Informatics and the Center of Excellence in Environmental Toxicology.
Our Research Interests
Geometric Machine Learning
We use graph representations of complex multimodal data to improve the inferential capacity of machine learning models.
Mechanisms of Adverse Women's Health Outcomes
We investigate the biological and social determinants that contribute to health disparities in women, integrating electronic health records, biobanks, and public health datasets.
Computational Toxicology
We develop and apply AI-based computational methods to predict and explain the effects of environmental toxicants on the human body.