Researcher at Laboratory of Data Engineering

I am a research scientist. I work on methods that uncover structure in high-dimensional data. I earned a PhD in theoretical physics and spent several years in theoretical cosmology before moving toward data-driven research. Drawing from physics and mathematics, I use topological and geometric ideas to build machine-learning tools that are easier to interpret and useful in scientific settings—from cosmology to neural representations.

Research Interests 

• Topological Data Analysis
• Foundations of Artificial Intelligence
• Machine Learning for Scientific Applications

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