Senior Research Software Engineer

Laurent Soucasse


Laurent Soucasse is a computational physicist specialised in coupled heat transport phenomena. He has a PhD in Energetics from CentraleSupélec (https://www.centralesupelec.fr/).

His research interest lies in developing high-fidelity simulation tools and machine learning algorithms for coupled multi-physics applications related to environmental and energy issues. He worked at the von Karman Institute for Fluid Dynamics (https://www.vki.ac.be/) as a Postdoctoral Fellow on developing models for atmospheric entries of space vehicles. In 2015, he was awarded a Marie-Curie Fellowship to lead the URBANRAD project (https://cordis.europa.eu/project/id/659442/fr) at Imperial College London (https://www.imperial.ac.uk/), focused on radiation modelling in urban environments.

In 2017, Laurent was appointed Assistant Professor at CentraleSupélec (https://www.centralesupelec.fr/), where he collaborated on various research projects dedicated to LIDAR monitoring of soot particles, improving energy efficiency and thermal comfort in buildings, and predicting climate within shallow caves. He was involved in the engineering curriculum and taught courses at the Bachelor’s and Master’s levels in Energy science.

Laurent joined the Netherlands eScience Center as Senior Research Software Engineer in the Natural Sciences & Engineering Section in June 2023.

Key skills

  • Computational Fluid Dynamics
  • Ray tracing algorithms
  • Machine Learning
  • High Performance Computing