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University of Florida

Lisiane Pruinelli’s primary area of experience lies in applied data science and clinical informatics. Specifically, Lisiane uses applied machine learning methods to investigate the trajectory of complex conditions, such as organ transplantation, as well as conditions amenable to change with personalized interventions to improve overall health outcomes.

Causal Inference

Disease Trajectories

Artificial Intelligence

Clinical Informatics

Machine Learning

Data Science

Electronic Health Records

Faculty Page

Associate Professor

Media Inquiry