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 in Edmonton working with Brendan Pass
University of Alberta Jul 2022 – Jul 2022
M2 class on Optimal Transportation
Université Paris-Saclay Apr 2022 – Feb 2022
Co-lecturing a class on Optimal Transportation Theory with Yann Brenier
Analysis and PDE Seminar (online)
Durham University Jan 2022 – Jan 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.

PDF Cite Slides

See all publications

Teaching A.Y. 2021/2022

MAO Calcul Scientifique
U. Paris-Saclay May 2022 – Jun 2022
M1 MF (voir eCampus)
Optimal Transport
U. Paris-Saclay Feb 2022 – Apr 2022
M2 Optimization (with Y. Brenier)
Optimisation numérique
U. Paris-Saclay Jan 2022 – Apr 2022
L3 DD (voir eCampus)
Approfondissements d’optimisation
U. Paris-Saclay Nov 2021 – Jan 2022
M1 MA (voir eCampus)
Optimisation Différentiable - Théorie et Algorithmes
E.N.S.T.A. Nov 2021 – Jan 2022
2éme année (voir eCampus)
Analyse théorique et numérique des EDO
U. Paris-Saclay Sep 2021 – Jan 2022
L3 Mathématiques E.U. (voir eCampus)

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