Luca Nenna

Luca Nenna

Maître de conférences

Université Paris-Saclay

Welcome

Hello! Welcome to my website! I am a maître de conférences (:= 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.

With Quentin Mérigot I organise a monthly seminar on Optimal Transport, PDE and Machine Learning at LMO.

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

  • PhD in Applied Mathematics, 2016

    PSL-Université Paris-Dauphine

  • Master degree in Mathematical Engineering, 2013

    Politecnico di Milano

Agenda

I will be on secondement in Matherials team
INRIA and Cermics Jan 2023 – Jun 2023
Seminar of the ANEDP team
(LMO) Université Paris-Saclay Oct 2022 – Oct 2022
I will be in Edmonton working with Brendan Pass
University of Alberta Jul 2022 – Jul 2022

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
Temporary assistant professor.

Recent & Upcoming Talks

Analysis and PDE Seminar
Jan 21, 2022 2:30 PM — 3:45 PM Durham University
Department Seminar
Dec 16, 2021 2:30 PM — 3:45 PM Université Haute Alsace
Schrödinger Problem and Mean-field PDE Systems: Computational and Theoretical Advances
Nov 15, 2021 3:45 PM — Nov 20, 2021 3:45 PM CIRM
See all events

Recent Publications

Quickly discover relevant content by filtering publications.
Simone Di Marino, Mathieu Lewin, Luca Nenna (2022). Grand-Canonical Optimal Transport. preprint.

PDF Cite Slides

Luca Nenna, Brendan Pass (2022). Transport type metrics on the space of probability measures involving singular base measures. preprint.

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See all publications

Teaching A.Y. 2022/2023

Optimisation numérique
U. Paris-Saclay Sep 2022 – Dec 2022
M1 Maths I.A. (voir eCampus)
Introduction to optimization
U. Paris-Saclay Sep 2022 – Sep 2022
M2 Optimization
Analyse théorique et numérique des EDO
U. Paris-Saclay Sep 2022 – Jan 2023
L3 Mathématiques E.U. (voir eCampus)

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