About Me

I am a researcher working at the intersection of Physics, Machine Learning, and Biology. My PhD focused on generative models for protein sequences and was conducted under the supervision of Ivan Junier and Olivier Rivoire, between the TIMC laboratory (Grenoble) and the Gulliver lab (ESPCI, Paris). I am currently open to postdoctoral opportunities.

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. Mechanism of catalytic regulation by an allosteric hot spot in dihydrofolate reductase. 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