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Desk 2015, CMAP, Palaiseau

HeKA team, 3rd floor, PariSanteCampus, Paris

Solange Pruilh

Centre de Mathématiques Appliquées, Ecole polytechnique.

I am a fourth year Ph.D student at CMAP, Ecole Polytechnique and HeKA, PariSanteCampus.
I am supervised by Stéphanie Allassonnière and Anne-Sophie Jannot , from HeKA team at PariSanteCampus.
My research project is about statistical learning algorithms, mixture models, and applications to public health data.

News

Jul 3, 2023 I will be attending the Journées de Statistique de la SFdS 2023 conference, in Bruxelles in July :fries:
Jun 14, 2022 I attended the Journées de Statistique de la SFdS 2022 conference, in Lyon, and presented my work on spatio-temporal mixture processes
Apr 3, 2022 I attended the Rencontres des Jeunes Statisticien.ne.s 2022 conference, in Porquerolles, and presented my work on spatio-temporal mixture processes
Feb 16, 2022 :page_with_curl: Our paper Spatio-temporal mixture process estimation to detect dynamical changes in population is accepted in Artificial Intelligence in Medicine

Publications

  • Pruilh, S., Jannot, A. S., & Allassonnière, S. (2022). Spatio-temporal mixture process estimation to detect dynamical changes in population. Artificial Intelligence in Medicine, 126, 102258.[Paper]

  • Dashper, S.G., Mitchell, H.L., Lê Cao, KA. et al. (2019). Temporal development of the oral microbiome and prediction of early childhood caries. Sci Rep 9, 19732. [Paper]

  • Matsuyama, M., Morrison, M.,Lê Cao, KA. et al. (2019). Dietary intake influences gut microbiota development of healthy Australian children from the age of one to two years. Sci Rep 9, 12476. [Paper]

Work Experience

  • 2019-Ongoing: Ph.D at CMAP, Ecole polytechnique and HeKA team, INRIA/INSERM
  • April-August 2019: Statistics research intern at CMAP and HeKA team
  • February-July 2018: Data scientist intern at Wavestone company, in Machine Learning & Data lab
  • July-Septembre 2017: Statistics research intern with Kim-Anh Lê Cao at Melbourne Integrative Genomics, University of Melbourne.

Education

  • 2019-Ongoing: Ph.D at CMAP, Ecole polytechnique and HeKA team, INRIA/INSERM
  • 2018-2019: MSc. at ENS Paris-Saclay, Master MVA
  • 2013-2018: Engineering degree at INSA Toulouse - specialization in applied mathematics

Teaching

2021-2022
  • Registration and Segmentation (MAA308 and MAA309, École polytechnique, 3rd year Bachelor)
  • Supervised a Bachelor thesis on Variational Auto-Encoders
2020-2021
  • Registration and Segmentation (MAA308 and MAA309, École polytechnique, 3rd year Bachelor)
  • Regression (MAP535, Ecole polytechnique, Data Science Master with HEC)
2019-2020
  • Registration and Segmentation (MAA308 and MAA309, École polytechnique, 3rd year Bachelor)
  • Assistant to evaluate PSC projects

Miscelleanous