About me

I am a Ph.D. student in Applied Mathematics at LPSM, Université de Paris, under the supervision of Stéphane Gaïffas and Emmanuel Bacry.

I am supported by DIM Math Innov PhD Fellowship.

Research

I am working on statistical learning methods in application. In particular, I am currently developing Deep Learning algorithms to perform risk screening over large databases, applied to SNIIRAM, a large observational database containing electronic health records in France.

Publications

ZiMM: a deep learning model for long term and blurry relapses with non-clinical claims data, published Journal of Biomedical Informatics, 2020. arXiv:1911.05346, Joint work with A.Kabeshova, B.Lukacs, E.Bacry, S.Gaïffas.

  • Short version presented at Machine Learning for Health Workshop at Neural Information Processing Systems (NeurIPS 2019 - ML4H)

Teaching

2019 – 2020

  • Probabilités discrètes, L3, Université de Paris (18h)
  • Statistiques et simulation, L3, Université de Paris (42h)