About Me
Associate Professor at EPITA
Professional Background
I am an Associate Professor (Enseignant-Chercheur) at EPITA Research Laboratory (LRE) in Lyon, France. My research focuses on Explainable Artificial Intelligence (XAI) and Scientific Discovery, with particular emphasis on the intersection of Graph Neural Networks (GNNs), Reinforcement Learning, and Continual Learning. I develop interpretable AI methods that bridge the gap between model performance and human understanding, enabling trustworthy AI systems for scientific applications.
I completed my PhD in Artificial Intelligence under the supervision of Prof. Roberto Capobianco at Sapienza University of Rome. My PhD project focused on developing model-specific XAI methods using a topology-based approach to identify and learn data representations that provide human-interpretable explanations of neural network predictions. I hold an M.Sc. degree in AI & Robotics and a B.Sc. degree in Computer and Control Engineering from Sapienza University of Rome.
I have strong background in the application of AI to chemistry and drug discovery, gained through my visiting scholar experience at the University of North Carolina and collaborations with the Pharmaceutical Chemistry and Technology Department at Sapienza University of Rome. Beyond research, I provide consulting services and technical guidance to companies and institutions seeking to implement AI and machine learning solutions responsibly.
Current Position
Associate Professor (Enseignant-Chercheur) - EPITA Research Laboratory (LRE)
Location
Rome, Italy
Education
PhD in Artificial Intelligence
Sapienza University of Rome, Italy
2019 - 2023
M.Sc. in AI and Robotics
Sapienza University of Rome, Italy
2017 - 2019
B.Sc. in Computer and Control Engineering
Sapienza University of Rome, Italy
2014 - 2017
Research Interests
Professional Experience
Associate Professor (Enseignant-Chercheur)
Apr 2026 - PresentEPITA Research Laboratory (LRE), EPITA, Lyon, France
Research on Explainable Artificial Intelligence on Graph Neural Networks. Associate Professor at EPITA School of Engineering with focus on teaching Deep Learning and cutting-edge AI research.
Postdoctoral Researcher
Jan 2026 - Mar 2026EPITA Research Laboratory (LRE), EPITA, Lyon, France
Research on Explainable Artificial Intelligence on Graph Neural Networks. Associate Professor at EPITA School of Engineering with focus on teaching Deep Learning and cutting-edge AI research.
Postdoctoral Researcher
Nov 2024 - Dec 2025Laboratoire d'Informatique en Images et Systèmes d'Information (LIRIS), INSA Lyon, France
Research on Explainable Artificial Intelligence with focus on Graph Neural Networks interpretability and self-explainable models.
Deep Learning Adjunct Professor
Sep 2025 - PresentEPITA Lyon, France
External Professor of the Deep Learning Course in the Master's Degree program. Teaching advanced topics in neural networks and deep learning methodologies.
AI Consultant
Nov 2021 - PresentSelf Employed
Artificial Intelligence consulting services for private clients and companies. Specializing in machine learning implementation, AI strategy, and technical guidance.
Machine Learning Engineer
2016 - PresentRome Center for Molecular Design, Sapienza University of Rome, Italy
Participation with the research group developing web applications and machine learning models for pharmaceutical chemistry applications and drug design.
Visiting Scholar
2019Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, USA
Application of Machine Learning to pharmaceutical chemistry for drug discovery. Research on AI-driven molecular design and compound prediction.
High School Teacher (Mathematics)
2021Enrico Fermi High School, Italy
Mathematics substitute teacher, teaching high school level mathematics and problem-solving skills.
Junior Scholarship Holder
2019Department of Computer, Control and Management Engineering, Sapienza University of Rome, Italy
Analysis of scientific production and research metrics through Google Scholar and Scopus databases.