Nathan Rousselot

Thales DIS, Meyreuil, France

Hello!

I am a research intern at Thales DIS, supervised by Karine Heydemann (Thales) and Loïc Masure (LIRMM). My research interest is geared towards Machine Learning foundations and applications.

I am a master student in Statistical Machine Learning for Information Processing at INP-N7. Prior to that, I studied applied mathematics at KU Leuven in the "Mathematical Engineering" master program as an exchange student, and studied Computer Engineering  at Efrei Paris.

From June to December 2021 and from June to August 2022, I was a student researcher for IRIT. My first work focused on photoplethysmography signals statistical processing, supervised by Henrique Goulart (IRIT-SC) and Marie Chabert (IRIT-SC). I then worked in collaboration with Wissal Ghamour (INP-N7) on the approximation of nonlinear (linear-analytic) physical models based on Volterra Kernels-based methods; supervised by Henrique Goulart (IRIT-SC).