Welcome,

I’m Alexandre Daby-Seesaram, an Assistant Professor at ENSTA within the Institut Polytechnique de Paris.

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). After my PhD, I moved to École polytechnique for a two-year postdoc where I started applying reduced-order modelling methods to bio-mechanics to build patient-specific digital twins.

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 is to achieve individualisation and real-time simulation of human organs digital twins using model-order reduction techniques, thus going from theoretical tools to clinical applications.