About
I am a postdoctoral researcher at Inria, École normale supérieure (ENS) in Paris, Île-de-France. My research focuses on statistical and machine learning methods for the analysis of complex data, with particular emphasis on time-dependent and high-dimensional settings.
I obtained my Ph.D. in Computer Science from the University of Salerno. Prior to that, I earned both my M.Sc. and B.Sc. degrees in Computer Science from the University of Salerno.
Research Interests
- Time Series Analysis
- Anomaly Detection
- Model Selection
- Data Imputation
- Data Profiling
Publications & Preprints
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(2026) 📄 Retrieval Over Training: Similarity search-based Model Selection for Time Series Anomaly Detection📌 NeurIPS 2026 (To Appear)
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(2026) 📄 Detect, Explain, Interpret: An End-to-End Benchmark for Time Series Anomaly Detection, Explainability and Interpretability.📌 NeurIPS 2026 (To Appear)
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(2025) 📄 Grace: Graph-based Representation and Analysis for Crime Exploration.📌 CRISTAIN 2025
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(2025) 📄 An RFD-Based Approach for Concept Drift Detection in Machine Learning Systems📌 EDBT 2025
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(2024) 📄 RYAN: A Tool for Explaining and Visually Analyzing the Evolution of Relaxed Functional Dependencies📌 IEEE Big Data 2024
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(2024) 📄 Surveying Federated Learning Approaches through a Multi-Criteria Categorization📌 Multimedia Tools and Applications
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(2023) 📄 REQUIRED: A Tool to Relax Queries through Relaxed Functional Dependencies📌 EDBT 2023
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(2022) 📄 Data Analytics on Twitter for Evaluating Women Inclusion and Safety in Modern Society📌 ITAData 2022
(2025) 📄
. Concept Drift Detection in Machine Learning Systems by Exploiting Relaxed Functional Dependencies.
📌 SEBD 2025
Affiliation
Inria, École normale supérieure (ENS)
Paris, Île-de-France, France