CV

Education

• Ph.D in Statistics and Machine Learning, Université Paris-Saclay, 2025
• Engineering Degree in Applied Mathematics and Computer Science, ENSIMAG - Grenoble Institute of Technology, 2021
• Preparatory Classes (Prépa) in Mathematics and Physics, Paris, 2018

Publications

Latent Functional PARAFAC for modeling multidimensional longitudinal data

Temporal glycemic patterns in type 1 and type 2 diabetes: insights from extended continuous glucose monitoring

Functional generalized canonical correlation analysis for studying multiple longitudinal variables

Talks

Teaching

Statistics and Machine Learning

Signal Processing