About Me

I am a Post doctoral researcher working at the Gulliver lab (ESPCI, Paris). My research lies at the intersection of Physics, Machine Learning, and Biology, where I develop generative models for protein sequences.

See here my resume

Projects

Undersampling-induced biases in generative models for protein sequences

Marion Chauveau. Generative models for protein sequences. PhD thesis manuscript, 2025.

Marion Chauveau et al. Overcoming undersampling-induced biases in generative models for protein sequences. In Preparation.

Investigate protein properties with statistical learning

Paul Guénon, Marion Chauveau et al. Allostery without Large Motions: Molecular Dissection of a Minimal-Shift MWC Allosteric Regulation. In Preparation.

Human Motion analysis via graph signal dictionary learning

M. Chauveau, A. Mazarguil, and L. Oudre. Graph dictionary learning for the study of human motion. In Proceedings of the International Conference of the IEEE Engineering in Medecine and Biology Society (EMBC), 2024, pp. 1–5.

Implementation of an image Segmentation algorithm

See here the repository