Experience

Università della Calabria

• Italy
• Higher Education
• 700 & Above Employee

• PHD Student

  • Nov 2021 - Present

  I am currently pursuing a Doctorate in Artificial Intelligence from the National Doctorate program in Italy, administered by the Sapienza University of Rome. My research is being conducted at the University of Calabria under the guidance of Prof. Nicola Leone and Prof. Francesco Calimeri.

• Research Fellow

  • Nov 2020 - Oct 2021

  Research in the Department of Mathematics and Computer Science involves implementing algorithms of neuro-symbolic Artificial Intelligence that combine Deep Learning and Deductive Logical Reasoning techniques. The research fellow was funded by the PON MISE MAP4ID project "Multipurpose Analytics Platform 4 Industrial Data", whose scientific director is Prof. Nicola Leone.



Fondazione IRCCS Istituto Nazionale dei Tumori di Milano

• Italy
• Hospitals and Health Care
• 700 & Above Employee

• Visiting PHD Student

  • May 2022 - Mar 2023

  Utilizing machine learning and deep learning techniques, this project analyzes CT scans and real-world data from a cohort of 375 patients with advanced NSCLC. The aim is to predict the efficacy of immunotherapy, either alone or in combination with chemotherapy. The project develops two solutions: a machine learning-based approach using six different classifiers, and an end-to-end deep learning pipeline. The performance of these models is evaluated in terms of predictive accuracy, with a focus on comparing the use of CT scans alone versus integrating them with real-world data. The final step involves an explainability analysis using SHapley Additive exPlanations (SHAP) values. Show less



DLVSystem

• Italy
• IT Services and IT Consulting
• 1 - 100 Employee

• Data Scientist

  • Oct 2020 - Mar 2023

  - Implementation of a computer vision model to detect objects for a quality compliance check, achieving 95.4% of mAP and 93.5% of mAR. Deploy the model in a production environment. - Predict the infection rate probability, in a retrospective study involving 600 patients of Policlinico di Bari, with machine learning algorithms achieving an overall accuracy of 94%, 93% of f1-score for patients without infections and 94% of f1-score for patients with infections. - Predict the region of a possible water leakage, in a small district of Catanzaro city, with machine learning achieving 64% accuracy. - Forecast the trend of earthquake sensors with neural networks achieving (normalized) MAE of 0.48. Show less



Healthy Reply

• Italy
• IT Services and IT Consulting
• 1 - 100 Employee

• ICT Consultant

  • Jan 2019 - Aug 2020

  - Develop RESTful services for telemedicine applications to support the accessibility of information of centralized health services. - Implementation of a computer vision model to estimate the 2D pose of patients during telerehabilitation in real-time. - Develop RESTful services for telemedicine applications to support the accessibility of information of centralized health services. - Implementation of a computer vision model to estimate the 2D pose of patients during telerehabilitation in real-time.



CITTA' DELLA SALUTE E DELLA SCIENZA DI TORINO - SEDE MOLINETTE

• Italy
• Hospitals and Health Care
• 700 & Above Employee

• Internship

  • Mar 2015 - Jun 2015

  During my bachelor’s degree, I did an internship as a clinical engineer at Molinette’s Hospital in Turin. During my bachelor’s degree, I did an internship as a clinical engineer at Molinette’s Hospital in Turin.