Bio

I am a postdoctoral researcher at EPFL in the chair of Mathematical Statistics, where I obtained my PhD advised by Victor Panaretos.

My work operates in statistics and machine learning. I am interested in inverse problems in high-dimensional/functional data and optimal transport. Currently, I am working on kernel methods for machine learning.

You may find my full CV here.

Experience

Oct 2024 - present, EPFL (Lausanne, CH)
Postdoctoral Researcher.
kernel methods in machine learning; inverse problems in high-dimensional/functional statistics; optimal transport

Sep - Dec 2023, University of California, Berkeley (US)
Research stay.
optimal transport; geometric statistics; hosted by Prof. Steve Evans.

Apr - Oct 2020, Teralytics AG (Zürich, CH)
Machine Learning Intern in the Data Science team.
Prototyping of probabilistic model to extract insights on human mobility
from telco data using ML, PGMs and particle filters.

Education

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.

Sep 2018 - Mar 2020, ETH Zürich (CH)
MSc degree in Mathematics, supervised by Prof. Ioan Manolescu.
Thesis: Widths of crossings in Poisson Boolean percolation.

Sep 2015 - Jul 2018, Università degli Studi di Trento (IT)
BSc degree in Mathematics.

Leonardo Santoro, PhD

Bio

Experience

Education