I am Thomas Lavigne, a researcher in Biomechanics and Computational Modeling, specializing in the poromechanical and multiscale modeling of soft biological tissues. My work focused on characterizing the complex time-dependent mechanical behavior of tissues like human skin and skeletal muscle, with direct applications in fields such as pressure ulcer prevention and tissue engineering.
Former student of École Normale Supérieure (ENS) Paris-Saclay (mechanical engineering department), I recently earned a Dual Doctoral Degree (Docteur en Sciences de l’Ingénieur) through a Co-tutelle PhD (2022-2025) entitled: Biomechanical modelling of human skin: a hierarchical porous media framework. This PhD work allied theroetical developments, numerical assessments and experimental campaigns, along with international collaboration and dissemination, with a special care on reproducibility. It successfully allowed to couple mechanics and biology (microvascular response) using porous media framework, providing insights on the time-dependent response of human skin as well as ischemic and hyperemic responses to an external load without introducing any neurological effects. This program was a joint effort between:
This work was recognized with the 2025 Excellent Thesis Award from the University of Luxembourg and proposed for the FNR FNR Outstanding PhD Award, Prix Bézier (ENSAM), suggested for application to the FNR Outstanding PhD Award.
More recently, I am part of post-doctoral research projects:
As part of the biomechanical team of the Legato Team, Institut de Biomécanique Humaine Georges Charpak and Porous Modelling team at I2M, I designed tutorials and symposiums to help in the learning and use of tools such as GIT and FEniCSx. I also actively participated in studies on breast chemotherapia (Unversity of Leeds, R. Collet, PhD), brain growth (IMT Atlantique, A. Kerachni, PhD), brain porous modelling (University of Luxembourg, M. Abbad Andaloussi), microfluidic chips design and simulations (Université de Bordeaux, H. Pi, PhD and M. Laccour).
You can learn more about my background in my [CV].
❮ ❯