aliceChargée de recherche CNRS
I am currently visiting the Australian National University (ANU) at the John Curtin School of Medical Research

You may still reach me at my former email address:

 alice.cleynen @ umontpellier.fr

updated November 2022


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 Deep-Learning methods for the analysis of sequencing data (Nanopore technologies), and Markov Processes for the analysis of clinical data. My main research interests involve:

  • Convolutional Neural Network for Nanopore Sequencing
  • 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


  • The 2023 edition of the SMPGD will be held in Ghent on 2-3 February 2023! Check out the web-page for an exciting program, and to submit an abstract for a talk or a poster!
  • The annual meeting of the Australian Mathematical Society will host a special session on Mathematical Biology! Don’t hesitate to send an abstract!
  • 2015-2022 CR CNRS at Université de Montpellier, IMAG
  • 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