Data Scientist 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;
- Explainable Machine learning in cheminformatics;
- Psychedelics in neurodevelopmental stuttering.
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