Mattia Prosperi, MEng, PhD


Curriculum VitaeCurriculum Vitae

Grants & ContractsGrants & Contracts



Associate Professor
Preeminence Faculty
CTRB 4234
(352) 273-5860

My research interests are in the areas of data science and biomedical modelling. I lead my research group towards the development of original algorithms and applications, exploiting machine learning with a critical eye on causality, and designing usable tools. My theoretical research is focused on development of new computational intelligence approaches tailored to the analysis of high-dimensional and heterogeneous data, e.g. electronic medical records, ecological data bases, social media data. My applied research foresees the development of prediction and intervention (i.e. counterfactual) models of future life statuses, with focus on precision medicine and public health. I capitalize on my engineering background together with epidemiology experience to exploit successfully a layered big data analytics paradigm, which integrates multiple domains, such as socio-demographic, ecological, clinical, -omics, and sensor technology. In such multi-level integration of individual and social-ecological determinants, I hybridize traditional theory-based models with bottom-up data mining. I lead the Data Intelligence Systems Lab (DISL), promoting interdisciplinary team science, education, and scholarly activities. I foster Master’s and PhD students to create a specialized workforce that will enable the University to excel in the next-generation data science. I am organizer of the “International Bioinformatics Workshop on Virus Evolution and Molecular Epidemiology”, editor of “BMC Medical Informatics and Decision Making” and “Global Health Research and Policy”. I am also member of the Association for Computing Machinery (ACM), the American Medical Informatics Association (AMIA) and program member of several international conferences, including ACM’s Conference on Bioinformatics, Computational Biology, and Health Informatics.


PhD Students

Inyoung JunInyoung Jun

Shannan RichShannan Rich

MPH Students

Xin QianXin Qian