Luca Nenna

Luca Nenna

Maître de conférences

Université Paris-Saclay

Welcome

Hello! Welcome to my website! I am a maître de conférences (:= tenured associate professor) in the department of Mathematics at Paris-Saclay University. I am also a member of the ERC team MDFT and the ANR MAGA.

Before that, I was a CNRS post-doc under the supervision of Mathieu Lewin.

In December 2016 I completed my Ph.D. under the supervision of Jean-David Benamou and Guillaume Carlier.

Interests

  • Optimal Transport
  • Mathematical Physics
  • Mathematical Economics
  • Numerical Analysis

Education

  • PhD in Applied Mathematics, 2016

    Université Paris-Dauphine

  • Master degree in Mathematical Engineering, 2013

    Politecnico di Milano

Agenda

Journées de Rentrée 2020 des Master de la FMJH

U. Paris-Saclay Sep 2020

Experience

 
 
 
 
 

Maître de conférences

Université Paris-Saclay

Sep 2018 – Present Orsay, France
 
 
 
 
 

Post-Doc

CNRS, PSL-Université Paris-Dauphine

Sep 2017 – Aug 2018 Paris, France
Under the supervision of Mathieu Lewin
 
 
 
 
 

A.T.E.R.

PSL-Université Paris-Dauphine

Sep 2016 – Aug 2017 Paris, France

Recent and Upcoming Talks

Workshop on Schrödinger problem and Optimal Transport
Jun 6, 2021 9:00 AM — Jun 9, 2021 4:00 PM U. of Lisbon
GT Mathématiques Numériques
Feb 27, 2020 3:45 PM LMO, U. Paris-Saclay
Seminar of Applied Mathematics
Oct 29, 2019 2:00 PM Catholic University of the Sacred Heart
See all talks

Recent Publications

Quickly discover relevant content by filtering publications.
Luca Nenna, Brendan Pass (2020). Variational problems involving unequal dimensional optimal transport. to appear on Journal de Mathématiques Pures et Appliquées.

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Jean-David Benamou, Guillaume Carlier, Simone Di Marino, Luca Nenna (2019). An entropy minimization approach to second-order variational mean-field games. Mathematical Models and Methods in Applied Sciences.

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Jean-David Benamou, Guillaume Carlier, Luca Nenna (2019). Generalized incompressible flows, multi-marginal transport and Sinkhorn algorithm. Numerische Mathematik.

PDF

See all publications

Teaching 2020/2021

Approfondissements d’optimisation

U. Paris-Saclay Nov 2020 – Feb 2021
M1 MA

Optimisation Différentiable - Théorie et Algorithmes

U. Paris-Saclay/ENSTA Nov 2020 – Jan 2021
ENSTA M1

Analyse théorique et numérique des EDO

U. Paris-Saclay Aug 2020 – Jan 2021
L3 Mathématiques

Optimal Transport: Theory, Numerics and Applications

U. Paris-Saclay Aug 2020 – Sep 2020
Journées de rentrée FMJH

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