Ricerc@Sapienza

Data Science PhD Student with industrial/hospital clinical research and data management/analysis background driven by special interest for medical statistics and machine learning applications in medicine and epidemiology.

Currently my research projects involve:

• Bayesian Methods in health technology assessment (HTA);
• Risk Prediction modelling in CKD/Nephrology;
• Machine Learning methods in bioinformatics/genomics;
• Biomarkers Validation in Fronto temporal dementia (FTD) and Amyotrophic lateral sclerosis (ALS);
• Predictors of virologic failure among HIV-1 infected patients switching from an effective first line antiretroviral regimen;
• Analysis and identification of topological properties of genes involved in pathologies through Machine Learning techniques applied to PPI Network;
• Small Areas disease mapping methodologies;
• Integrative omics analysis for precision medicine purposes;
• Drug Repurposing via network approaches in medicine.

Education:

- Master in Industrial Pharmacy (final grade: 110/110) - Gabriele d'Annunzio Chieti-Pescara University, Italy
- Master of Research in Clinical Drug Development (final grade: Merit) - University College London (UCL) , United Kingdom
- Second Level Master in Data Science (final grade: 110/110 Cum Laude) - Polytechnic University of Bari, Italy