Chargée de recherche CNRS
Institut Montpellierain Alexander Grothendiek
Équipe Probabilités et Statistique
Bureau 427, Bâtiment 9
Place Eugène Bataillon
34095, Montpellier
Tel : +33 4.67.14.42.11
alice.cleynen @ umontpellier.fr
updated November 2019
Research
I am particularly interested in developing statistical methods for the analysis of biological data, with an emphasis on computational biology and highthroughput technologies. Recent projects involve Bayesian theory for population genomics, and Markov Processes for the analysis of clinical data. My main research interests involve:
 Bayesian theory (decision theory, modelisation, ABC) and applications in genomics
 Machine learning techniques for genomics, in particular random forests
 Computation and algorithms for ultralarge genomic data
 PartiallyObservable Markov Decision Processes (POMDP), Piecewise Deterministic Markov Processes (PDMP), applications to medical data
 Changepoint detection problems and model selection for discrete variables with special emphasis on sequencing data
Vitae
 20132015 Postdoc at Harvard School of Public Health with Giovanni Parmigiani
 20102013 PhD at AgroParisTech/INRA and UC Berkeley with Stéphane Robin and Sandrine Dudoit
Teaching

Fall 2016, 2018,2019 Introduction to statistics for 3rd year students in engineering
 Fall 2015 and 2016 Modeling natural phenomena, 1st year ENS Cachan
 Fall 2015 Introduction to statistics for 1st year Masters students
 Fall 2013 Mathematical modeling for 2nd year Bsc students
 Fall 2013 Mathematical modeling for final year Bsc students
 Spring 2013 Statistical modeling for 1st year Masters students

Fall 2012 Probability theory for the preparation of the competitive admission to AgroVeto for 2nd year Bsc students
 January 2012 Probability theory – intensive workshop

Fall 2011 General mathematics for 3rd year students in engineering

2008–2009 Mathematics for students of preparatory classes