Short bio
- Diplôme d’etude supérieur de Santé Publique, Université Paris Descartes, 2020
- Double-cursus Médecine-sciences, 2016, Université Paris Descartes
- Master 2 de science-cognitives, 2013, École normale supérieure, Paris
Thesis title
Predictive modelling using structure learning to handle distribution shift in Electronic Health Records.
Short abstract
I develop machine learning models tailored to Electronic Health Records, which are multiple multivariate time series, with the particularity of being of mixed type and irregularly sampled. These models are generalized Gaussian Process models, and I write and evaluate kernels that encodes structural assumptions on the data generating process.