Bio

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

I am interested in statistics for random processes and inverse problems in high-dimensional/functional data analysis and optimal transport, with a focus on optimization. Currently, I am working on kernel methods for machine learing. I am passionate about developing methods for real-world applications, taylored to the data's specific structure.

You may find my full CV here.

Experience

Oct 2024 - present, EPFL (Lausanne, CH)
Postdoctoral Researcher.
Chair of Mathematical Statistics: statistical inference for random processes, inverse problems in high-dimensional/functional data analysis, optimal transport.

Sep - Dec 2023, University of California, Berkeley (US)
Research stay.
hosted by Prof. Steve Evans; focus on large deviations for barycenters.

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