About Me

My research explores questions at the intersection of machine learning, statistical physics and biology. I completed my PhD on generative models for protein sequences under the supervision Ivan Junier and Olivier Rivoire, between the TIMC laboratory (Grenoble) and the Gulliver lab (ESPCI, Paris).

See here my resume

Projects

Undersampling-induced biases in generative models for protein sequences

M. Chauveau, Y. Kleeorin, E. Hinds, I. Junier, R. Ranganathan, O. Rivoire. Improved inference of multiscale sequence statistics in generative protein models. In Preparation.

Investigate protein properties with statistical learning

P. Guénon, M. Chauveau, K. Filipowskac, I. Tunon, C. Nizak, K. Reynolds, G. Stirnemann, O. Rivoire, D. Laage. 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