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 high-throughput 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 ultra-large genomic data
- Partially-Observable Markov Decision Processes (POMDP), Piece-wise Deterministic Markov Processes (PDMP), applications to medical data
- Change-point detection problems and model selection for discrete variables with special emphasis on sequencing data
Vitae
- 2013-2015 Post-doc at Harvard School of Public Health with Giovanni Parmigiani
- 2010-2013 PhD at AgroParisTech/INRA and UC Berkeley with Stéphane Robin and Sandrine Dudoit
Teaching
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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
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Fall 2012 Probability theory for the preparation of the competitive admission to AgroVeto for 2nd year Bsc students
- January 2012 Probability theory – intensive workshop
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Fall 2011 General mathematics for 3rd year students in engineering
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2008–2009 Mathematics for students of preparatory classes