Homepage

About me

I’m currently a PhD student on an industrial contract. It’s a collaboration between the CREST-ENSAE laboratory at the Institut Polytechnique de Paris and the Renault group. I’m supervised by Matthieu Lerasle and Arnaud Franju.
I’m working on the Calibration of models to build the digital twin of the autonomous vehicle. It involves various methods such as supervised learning and classification, as well as Bayesian inference using Approximate Bayesian Computation methods.

Before my PhD, I graduated from the Master 2 in Mathematics of Randomness, specializing in Statistics and Machine Learning, at the Université Paris-Saclay in Orsay, France.

For more details, see CV (FR).

Student supervision

  • (2023, end-of-study project) Rayan Maaloul, Construction of a generative time series model using Deep Learning methods (Renault group, co-supervised with Arnaud Franju)

Reviewing service

  • (2023) International Conference on Machine Learning (ICML)
  • (2023) Neural Information Processing Systems (NeurIPS)

Award

Conferences

Volunteering

  • (2021-2023) Doctoral student representative on the Hadamard mathematics graduate school (EDMH) board, Orsay, France
  • (2015-2018) Student representative on the Paris-Sud University bachelor’s degree development committee, Orsay, France
  • (2018) In charge of applications for the Data’Bang edition of TEDx Saclay, Orsay, France