Matteo Pegoraro

Postdoc in Applied Topology and Statistics

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KTH, Department of Mathematics, Sweden.

e-mail address: matteope at kth.se

I am a postdoctoral researcher in applied topology and statistics, working in the broad field of geometric data analysis.

In particular, I have been working mainly in:

topological data analysis: working with graph-shaped topological summaries (merge trees, Reeb graphs etc.) and functional representations of persistence diagrams;
optimal transport and Wasserstein metrics: developing extrinsic and intrinsic statistical tools to work with data sets of probability distributions (possibly on manifolds) exploiting the Wasserstein geometry.

(2026-2028: awarded a FIR grant at USI, Lugano, with the project ”Using Topological Data Analysis to Understand Microglia Shape Variability in Space and Time”, supported by prof. Olaf Schenk.)

2025: postdoc at KTH, supervised by prof. Wojciech Chacolski.
2023-2024: I started a postdoc at Aalborg University, Department of Mathematical Sciences, within the project "Deciphering Nanoporosity of Amorphous Materials using Topological Data Analysis" under the supervision of prof. Lisbeth Fajstrup and prof. Christophe Biscio. The project is funded by Independent Research Fund Denmark.
- - Spring 2024: visit at Inria Saclay, collaborating with prof. Steve Oudot and Inria Sophia Antipolis centre, collaborating with research scientist Mathieu Carriere. This research stay is partly funded by a travel grant I won at Otto Mønsteds Fond.
2022: PhD in "Data Science and Computation" at Universitá di Bologna, under the supervision of professor Piercesare Secchi.
2018-2021: PhD in "Matematical Models and Methods in Engineering" at MOX, Politecnico di Milano, under the supervision of professor Piercesare Secchi.
Bachelor and master degree in Mathematics, at Università degli Studi di Milano. The title of my master thesis is About the Picard scheme, supervised by Fabrizio Andreatta.

For a CV click here.

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