I am a Tenure-Track Assistant Professor (RTT, SSD IBIO-01/A) at the Department of Information Engineering (DEI) of the University of Padova, Italy, where I have been working since my Bachelor's degree in 2011.
My primary field of research is the development of artificial intelligence (AI)-driven decision support systems (DSS) and digital twin frameworks for optimizing diabetes therapy, with a particular focus on type 1 diabetes and glucose–insulin dynamics. My work spans the conception, implementation, and clinical assessment of algorithmic solutions that merge physiological modeling, wearable sensor data, and personalized therapy optimization.
I am the Principal Investigator of the DIANA project (Fondo Italiano per la Scienza 2024–2025, €1M+), and I collaborate with major international partners including Roche Diagnostics, Dexcom Inc., Imperial College London, University of Oxford, University of Bern, and Woman's Hospital (Baton Rouge, LA). I hold 2 international patent applications, both with IP transferred to international companies.
42 journal papers · 19 Scopus-indexed conference papers · 2 international patents · 2352 citations (Scholar) · H-index 20
Software tools developed and maintained as part of my research on AI for diabetes management.
A digital twin-based methodology to identify a personalized model from type 1 diabetes data and simulate glucose concentrations to assess alternative therapies. Central technological asset of the research group. Licensed to Roche Diagnostics International Ltd.
A toolbox for Automated Glucose dATA Analysis. Provides a comprehensive set of tools for statistical analysis of continuous glucose monitoring (CGM) data. Used in collaborations with University of Oxford, University of Dundee, and more.
An integrated mobile platform for automated data collection and real-time patient monitoring in diabetes clinical trials. Enables in-house clinical trials and multi-sensor data collection. Now a core component of the DARE initiative's DSS.
Digital Twin and Artificial Intelligence for Adaptive Management of Pediatrics with Type 1 Diabetes under Multiple Daily Injection. Funded by MUR (Fondo Italiano per la Scienza 2024–2025). Budget: €1,036,113. Principal Investigator.
Agreement between DEI-UNIPD and Roche Diagnostics International Ltd. (Rotkreuz, Switzerland). Principal Investigator.
Digital Medicine & Health Technologies national initiative (PNC-I.1). Spoke 3 – Wearable technologies and AI for health. Member and work-package contributor.
EU Horizon 2020 project (Grant #101017598). AI for disease monitoring in ALS and MS using wearable sensors. Budget: €5.9M. Task leader for wearable data preprocessing and feature extraction.
Big data, IoT and AI to study the impact of personal exposure to air pollution on asthma exacerbations. National PNRR project. Scientific leader for the DEI-UNIPD unit.
Long-term research collaboration with Dexcom Inc. (San Diego, CA). Multiple agreements from 2015–2026. PI of current 2022–2026 and 2025–2026 agreements. Resulted in 2 international patents (IP transferred to Dexcom).
