I am an Associate Professor with Tenure and Foundation Research Professor in the School of Nursing, Population Health and Systems Cooperative at the University of Minnesota. I also serve as Co-Director of the Center for Nursing Informatics, Co-Leader of the Cognitive Artificial Intelligence Research Lab (CAIR), Co-Director of the Nursing and Artificial Intelligence Leadership Collaborative (NAIL), Co-Leader of the Mobile Emergency Triage (MET) Research Group, and am Co-President of the AIME Society.
My research focuses on the development and application of artificial intelligence methods to support clinical decision-making, particularly for patients living with multiple chronic conditions (multimorbidity). My work spans computable clinical practice guidelines, explainable AI for clinical decision support, natural language processing for health data, and the ethical and social implications of AI in nursing and healthcare. I collaborate with researchers across medicine, computer science, and nursing informatics internationally. My research has received funding from the NSF, NIH, DARPA, DoD, and private foundations, and has resulted in two patents and several startup companies.
I earned my Ph.D. in Computer Science from the University of Southern California, where I developed solutions to automated reasoning problems using AI. I am a Fellow of the American Medical Informatics Association (FAMIA) and a Fellow of the International Academy of Health Sciences Informatics (FIAHSI), and a Senior Member of the Association for the Advancement of Artificial Intelligence (AAAI). I serve as co-chair of the International Workshop on Health Intelligence (W3PHIAI) and the Workshop on AI in Nursing (AINurse).
Foundation Research Professor
My research develops and applies artificial intelligence methods — including automated planning, knowledge representation, machine learning, and NLP — to improve clinical decision support and patient outcomes, with a particular focus on patients with multiple chronic conditions.
For Students & Collaborators
I welcome inquiries from prospective PhD students and postdoctoral fellows with backgrounds in nursing, informatics, computer science, or public health. Please email a brief statement of your interests and your CV.
Potential collaborators from industry, clinical settings, or other academic institutions are encouraged to reach out directly.