Romano Lab @ Penn
Knowledge-driven biomedical data science
We're a new biomedical research group at the University of Pennsylvania's Perelman School of Medicine.
We use structured biomedical knowledge and artificial intelligence to answer important questions in biomedicine. We're particularly interested in applications to environmental toxicology. Some of our favorite methods include multimodal graph machine learning and applied ontology inference.
Peripheral areas of interest include:
- Natural product drug discovery
- Genetic programming / evolutionary algorithms
We are hiring for multiple positions!
Click here for a list of our active funding sources.