Welcome,
I’m Alexandre Daby-Seesaram, a Postdoctoral researcher at École Polytechnique and INRIA in the MΞDISIM team.
I hold a Ph.D. in computational mechanics from the University Paris-Saclay (ENS Paris-Saclay), where I worked at the LMPS (Laboratory of Mechanics Paris-Saclay). You can learn more about my background in my [CV].
My main research interest consists of solving highly non-linear problems using model-order reduction techniques such as the Proper Generalised Decomposition (PGD). I’ve recently become interested in hybridising classical model-order reduction methods with machine learning approaches. Combining tensor decomposition and interpretable neural networks enables efficient and robust solving of large non-linear problems.
The ultimate goal of my research during my postdoctoral position is to achieve individualisation and real-time simulation of a lung digital twin using model-order reduction techniques, thus going from theoretical tools to clinical application for patients with idiopathic pulmonary fibrosis (IPF).
Thanks to (Mathur, Brozovich, and Rausch 2023) for the details on how to set up the AR environment