Researcher at Laboratory of Data Engineering

After working for several years in theoretical physics, I’ve recently moved towards data-oriented research. I’m using Topological Data Analysis techniques to study the geometry of representations of convolutional neural networks and large transformer models applied to a diverse range of datasets, including protein sequences, images, and text. I am also working to develop FAIR workflows of data and metadata for laboratories of material and life sciences.

Research Interests 

• Topological Data Analysis
• Machine Learning
• FAIR-by-design
• Theoretical Physics

Experience & Education

• Postdoc at SISSA, 2023
• Postdoc at University of Amsterdam, 2020
• PhD in Theoretical Physics at University of Geneva, 2016
• MSc in Theoretical Physics at University of Padova, 2011