After having received a dual degree of MSc./Engineer (both in applied mathematics), I started a PhD in 2017 at Université Paris-Saclay under a CIFRE convention with EDF R&D, where I completed an internship previously. The research topic is motivated by industrial problems in data assimilation reconstruction confronted by EDF. For more detailed working experiences, please check my Linkedin profile.



Data assimilation

Prior covariances matrices computation for variational methods

General DA methods with applications in energetics (hydraulics, nuclear)

2017 -

Université Paris-Saclay

Ph.D in data assimilation/uncertainty propagation

with applications in the energy industry

Network science

Random walks, graph theory, network diffusion

2015 - 2017

Université Catholique de Louvain

MSc in applied mathematics (optimization and financial mathematics), TIME (Top Industrial Managers for Europe) program



3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, 24-26 June 2019, Crete, Greece, talk

MascotNum 2019

MASCOT-NUM Annual Conference, Rueil-Malmaison, 18-20 March 2019, poster

CMStatistics 2018

The 11th International Conference of the ERCIM WG on Computational and Methodological Statistics, University of Pisa, Italy, 14-16 December 2018, talk

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