Rosina Weber, PhD

Weber is an expert in explaining how AI and machine learning algorithms function and how they have evolved over time. Her research focuses on creating artificial intelligence methods to solve real-world problems.

She has developed AI methods for applications in science, technology and biomedical engineering, military operations, law and knowledge management. She is currently working on projects that focus on interpretability — how transparent AI methods are — and explainability — how AI methods can be designed to explain their decisions.

Weber is the director of The TeX-Base Lab in Drexel’s College of Computing & Informatics, which is currently working on AI projects for the National Institutes of Health and the Department of Defense. Respectively, these efforts are working to help scientists to glean knowledge from vast troves of biomedical research data; and provide support to people who have to make difficult decisions in crisis situations.

She has authored numerous papers and book chapters, including an adopted textbook on case-based reasoning. Her publications include various methods within artificial intelligence from information extraction and rule-based agents, to neural networks and language models.

Weber holds a doctorate in production engineering from the Federal University of Santa Catarina in Brazil and the University of South Florida. She completed graduate and undergraduate studies in Brazil and served as a postdoctoral researcher at the Naval Research Laboratory at the Navy Center for Applied Research in Artificial Intelligence. She is fluent in English and Portuguese.