Bio

I am a researcher working at the intersection of statistics and machine learning, with research interests in kernel methods, optimal transport, generative modelling, and high-dimensional inference for structured data.

I am currently a postdoctoral researcher at EPFL. In Fall 2025, I was a visiting postdoctoral researcher at Columbia University, hosted by Bodhisattva Sen. Previously, I was a visiting student at UC Berkeley in Fall 2023. I obtained my PhD in Statistics from EPFL in 2024, under the supervision of Victor Panaretos.

Experience

Columbia logo Oct 2025 - Dec 2025
Columbia University (New York, US)
Visiting Researcher.
EPFL logo Oct 2024 - present
EPFL (Lausanne, CH)
Postdoctoral Researcher.
UC Berkeley logo Sep - Dec 2023
University of California, Berkeley (US)
Visiting Researcher.
Teralytics logo Apr - Oct 2020
Teralytics AG (Zürich, CH)
Machine Learning Research Intern.

Education

EPFL logo Oct 2020 - Sep 2024
EPFL (Lausanne, CH)
PhD in Mathematical Statistics, supervised by Prof. Victor Panaretos.
Thesis: Statistics for Covariance Operators: Transport, Flows, and Diffusions.
ETH Zürich logo Sep 2018 - Mar 2020
ETH Zürich (CH)
MSc degree in Mathematics, supervised by Prof. Ioan Manolescu.
Thesis: Widths of crossings in Poisson Boolean percolation.
University of Trento logo Sep 2015 - Jul 2018
Università degli Studi di Trento (IT)
BSc degree in Mathematics.