Paul Mangold

Post-doc at Polytechnique

You can download my CV in French or in English.

Current Position

2023–now

École Polytechnique.

Post-doctoral Researcher.

Federated optimisation and stochastic approximation, with application to reinforcement learning.

Education

2020–2023

Inria Lille.

PhD Thesis.

Exploiting problem structure in privacy-preserving optimization and machine learning.

2018–2019

Université Lyon 1.

Agrégation de mathématiques, option informatique.

2017–2018

École Polytechnique, Télécom Paris.

Master 2 Data Sciences.

2016–2017

ENS de Lyon.

Master 1 Informatique fondamentale.

2015–2016

ENS de Lyon.

Licence 3 Informatique fondamentale.

2013–2015

Lycée du Parc.

Prépa MPSI–MP*.

2010–2013

Lycée Ampère.

Baccalauréat Scientifique.

Research

Summer 2020

CHU de Lille.

Internship – 3 months.

Proof of concept of decentralized learning on health data.

Fall 2019

Inria Lille.

Internship – 6 months.

Differentially private optimization for machine learning.

Summer 2018

Weierstrass Institute, Berlin.

Internship – 4 months.

Numerical methods for unbalanced optimal transport.

Summer 2017

KU Leuven, Courtrai et Inria Lille.

Internship – 3 months.

Development of a parameterizable environments for evaluating machine learning algorithms in modelling yeast gene regulation network.

Summer 2016

Institut Rhônalpin des Systèmes Complexes, Lyon.

Internship – 2 months.

Analysis of sociolinguistic relationships between language and social networks on a database of tweets.

Languages

Français

Native.

Anglais

Fluent.

Russe

Intermediate.

Allemand

Beginner.