Mattia Prosperi, Ph.D., FAMIA, FACMI

Mattia Prosperi, Ph.D., FAMIA, FACMI, is a professor and associate dean for AI and innovation at the University of Florida College of Public Health and Health Professions and the chief research information officer for UF’s Emerging Pathogens Institute (EPI). With a background in computer engineering, he has over two decades of experience in bio-health informatics and epidemiology, leading impactful research programs in both the U.S. and the E.U.

In his role as associate dean, he focuses on expanding AI infrastructure, training/education and research capacity within the college and across UF. As EPI’s chief research information officer, he leads efforts to enhance pathogenomics-centered data integration, reproducible bioinformatics pipelines, and guides the development of novel biological generative AI.

His research integrates AI, health and epidemiological informatics, causal inference and multimodal data science. Over the past decade, Dr. Prosperi has secured funding and led projects totaling more than $20 million in external support from U.S. federal agencies, (including the National Institutes of Health and the National Science Foundation), the European Commission (Horizon 2020); not-for-profit foundations; and industry partners such as Merck and NVIDIA.

Dr. Prosperi has advanced both foundational and applied biomedical AI. His work includes developing multidomain, multilevel modeling approaches that fuse socioeconomic, ecological, clinical, and -omics data to enable precision health. More recently, he has pioneered causal AI methods aimed at shaping future outcomes rather than merely predicting them.

He serves as editor for the journals BMC Artificial Intelligence, Global Health Research and Policy, Journal of Healthcare Informatics Research, and BMC Medical Informatics and Decision Making. He is a member of the Association for Computing Machinery and the Society for Industrial and Organizational Psychology, and a Fellow of both the American Medical Informatics Association and the American College of Medical Informatics.

Computational epidemiology Bio-health informatics Artificial intelligence Viral – bacterial diseases