Luca Nenna

Luca Nenna

Maître de conférences HDR

Université Paris-Saclay

Welcome

Hello! Welcome to my website! I am a maître de conférences in applied mathematics (:= associate professor) in the department of Mathematics at Paris-Saclay University. I am the P.I. of the ANR GOTA and a member of the Inria-Saclay team ParMa.

I defended my HdR (French habilitation) on the 6th March 2024. You can find here the manuscript.

Before that, I was a 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.

$\bullet$ My research interests lie at the intersection of Optimal Transport, Mathematical Physics, Mathematical Economics and Numerical Optimization.

$\bullet$ I co-organise a monthly seminar on Optimal Transport, PDE and Machine Learning at LMO.

$\bullet$ News: I have been awarded a Frontiers of Science Award.

Interests
  • Optimal Transport
  • Mathematical Physics
  • Mathematical Economics
  • Numerical Optimization
Education
  • HdR in Mathematics, 2024

    Université Paris-Saclay

  • PhD in Applied Mathematics, 2016

    PSL-Université Paris-Dauphine

  • Master degree in Mathematical Engineering, 2013

    Politecnico di Milano

Agenda

I will give a seminar at ICJ Lyon

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

Séminaire MMCS
2024 International Congress of Basic Science
4th Italian Meeting on Probability and Mathematical Statistics

Recent Publications

Quickly discover relevant content by filtering publications.
(2024). The ground state energy is not always convex in the number of electrons. preprint.

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(2024). A numerical method for regularized transportation problems. Frontiers of Science Award Paper.

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Teaching A.Y. 2023/2024

Calculus of Variations
M2 OPT/AMS
Optimisation numérique
M1 Maths I.A. (voir eCampus)
Introduction to optimization
M2 Optimization

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