About me | Matthieu Clertant

About me

Since June 2018, I  work at UPMC and Inserm (Team: NutriOmics) as a Senior Research Assistant. My research is focused on developing:

  • new statistical methods to improve the design and analysis of clinical trials,
  • new innovative algorithms for clinical decision support system.

Interests: Bayesian statistics, machine learning, non-parametric bayesian models, hierarchical models, semi-parametric inference, copulas models, classifiers with rejection, neural networks, Monte carlo tree search.

Publications: 

  1. Semi-parametric Bayesian model, applications in dose finding studies, thesis, 2016.
  2. Semiparametric Dose Finding Methods, JRSS B (Alternative link, Cobra), 2017.
  3. Semiparemetric dose finding methods: special cases, JRSS C, 2018.
  4. The Role of Minimal Sets in Dose Finding Studies, Journal of Nonparametric Statistics, 2018.