Creation of the Machine Learning, Modeling and Simulation team (MLMS)

The team's three main research themes are:

• Data-driven modeling that focuses on all aspects of modeling in neuroscience, geometry, biomechanics, interaction, behavior, shape and movement of humans.
• Our models are implemented in the form of physical simulations which are intended in particular to be real-time.
• Using optimization & learning techniques, we leverage real world data to make our models and simulations more personalized and predictive.

The team is composed of seven permanent researchers / professors, one postdoc, three engineers and six PhD students. The team’s flagship projects are:

• ANR PRC Human4D: Acquisition, Analysis and Synthesis of the Shape of the Human Body in Motion
• ANR JCJC Sperry Supervised robotic surgery - Application to radiofrequency ablation of liver tumors
• Exploratory action INRIA A/D Drugs : Treatment of schizophrenia via transcranial neurostimulation by electric current or magnetic fields
• Innovation Chair BoPA : Development of digital technologies to "augment" the surgeon through sight, speech and touch