Francesca Ieva

WORK HISTORY

EDUCATION

ABOUT FRANCESCA IEVA

My research is focused on statistical learning in biomedical context, both from a methodological and applied point of view. In fact, the most part of my activity is concerned with clinical biostatistics and healthcare assessment,in particular modelling data coming from integration of clinical surveys and administrative databanks. This data drove my scientific interest towards the study of frailty Multi State Models and Stochastic processes for disease progression, as well as Mathematical Modeling (Multilevel models and Bayesian nonparametric hierarchical models) for Evaluation of Healthcare Processes. Moreover, I deepened the study of depth measures for (multivariate) Functional Data and Functional Data Analysis applied to Pharmacoepidemiological setting for addressing research issues concerning the analysis of complex data like vital signals or time varying covariates describing drugs intake or biomarker evaluation. In the last years, I enlarged my interests to the study of representation learning techniques, aimed at including fingerprints that patients provide in terms of genomic or medical imaging data into predictive models for personalized medicine. Other interests concern Educational setting, where a considerable part of the previous methods maybe applied for investigating providers (schools) performances. In this context, statistical Network Analysis may be employed for exploring connections among actors.