cyprienPhD Student (MESR Grant)

Topic  Development of an effective learning algorithm in order to predict the evolution of a disease and adapt the treatment to the profile of each patient.

Keywords Learning

Cyprien Gilet obtained his MSc in applied mathematics (master MIGS) from the University of Burgundy (Dijon) in 2017. He started a PhD in Machine Learning under the supervision of Lionel Fillatre (I3S laboratory) and Nicolas Glaichenhaus (IPMC laboratory) in November 2017. This thesis is funded both by the CNRS and the IPMC laboratory. This thesis aims to develop effective learning algorithms in order to predict the evolution of a disease and adapt the treatment to the profile of each patient.

 http://www.i3s.unice.fr/~gilet/