Andrea Guidolin

Andrea Guidolin is a Lecturer in Mathematical Foundations of AI and Machine Learning at the School of Mathematical Sciences, University of Southampton, since 2025. His research focuses on applying geometric and topological methods to analyze data structures and enhance machine learning models.

Education:

• PhD in Pure and Applied Mathematics, University of Turin (2018)

Guidolin's work explores how topology and geometry characterize patterns in complex datasets, particularly in biological and machine learning contexts. He employs spectral systems and computational algebra to develop robust topological data analysis frameworks.

Recent publications emphasize multi-persistence theory, Koszul complexes, and applications to neuroscience. His research bridges pure algebraic topology with practical data science challenges.

Previous Appointments:

• Postdoctoral Researcher, KTH Royal Institute of Technology (2021–2024)
• Postdoctoral Researcher, Basque Center for Applied Mathematics (2018–2020)