Themes & Invited Speakers of past Editions

Invited Speakers of past Editions

  • P. Alquier (ENSAE ParisTech & Paris Saclay)
  • C. Ané (U. Wisconsin, USA)
  • S. Arlot (École Normale Supérieure, Paris), Cross-validation for estimator selection
  • F. Austerlitz (MNHN , France)
  • N. Beerenwinkel (ETH, Zurich, Switzerland)
  • K. Borgwardt  Beyond the Support Vector Machine: Kernels in Bioinformatics
  • R Chikhi (CRIStAL, Lille)
  • V. Colot (Ecole Normale Supérieure, Paris), Epigenetic variation across generations 
  • J. Corander (U. of Oslo & U. Helsinki)
  • A. Dalalyan (ENSAE, CREST, France)
  • M. El-Karoui (INRA), Some biological questions in comparative genomics
  • G. Filion (Centre of Genomic Regulation, Barcelona), Promoters interpret the chromatin context in different ways
  • T. Hothorn (Universität Zürich), From the Cox-Model to Conditional Transformation Models and Back
  • W. Huber (European Molecular Biology Laboratory, Heidelberg, Pharmacogenomics of targeted drug response in tumours
  • D.T. Jones (UCL, UK),
  • N. Lawrence (U. Sheffield), Between Systems and Data-driven Modeling for Computational Biology: Target Identification with Gaussian Processes
  • G. Mc Vean (Univ. of Oxford), A fine-scale map of the chimpanzee from population scale sequencing
  • C. Matias (CNRS, Univ. Evry), Statistical Alignment
  • Martial Marbouty (Institut Pasteur, Paris)
  • F. Markowetz (CR UK - CRI, Cambridge, UK)
  • Axel Munk (Institut für Mathematische Stochastik, Goettingen)
  • H.-G. Müller (U. California, Davis), Functional Regression Models and Applications 
  • W. Noble (University of Washington), The one-dimensional and three-dimensional architecture of the genome
  • Guido Nolte (Fraunhofer Institute for Intelligent Analysis and Information Systems) Estimation of causal direction from time series in the presence of mixed and colored noise
  • P. Reynaud (Nice University), Hawkes process as models for some genomic data
  • S. Richardson (MRC Biostatistics Unit, Cambridge, UK)
  • Yvan Saeys (Ghent University),Towards robust feature selection for high-dimensional, small sample settings
  • B. Schwikowski (Institut Pasteur)
  • Hervé Seitz (IGH, Montpellier)
  • A. van der Vaart (Leiden University, Leiden, The Netherlands)
  • A. Veber (Ecole Polytechnique, Palaiseau), Evolution in a spatial continuum
  • N. Verzelen (INRA, Montpellier), Some limits to high-dimensional estimation
  • D. Wilkinson (New Castle University),  Bayesian inference for biochemical network dynamics

Past Themes (and session organizers)

  • Cancer applications (2009, E. Barillot)
  • Large dimension data (2009, F. Picard)
  • Phylogeny (2009, 2014, A. Bar-Hen, N. Lartillot)
  • Network Analysis (2010, C. Ambroise, 2013, S. Mukherjee)
  • Feature Selection (2010, B. Ghattas)
  • multiple testing (2011, J. Goeman)
  • Statistical genetics (2011,M.L. Taupin)
  • High-throughput sequencing (2011, 2012)
  • Data Integration (2012, J.-P. Vert)
  • Ecology and Genomics (2012, H. Morlon)
  • Metagenomics (2013, J.-J. Daudin)
  • Design & sample size (2013, M. Langaas, R. de Menezes)
  • Metabolism (2014, D. Kahn)
  • Statistical Genomics (2014, B. Servin)
  • Single Cell genomics (2015, J. Marioni)
  • Systems Genetics (2015, J. Gagneur)
  • Epigenomics (2015, F. Picard)
  • Change-point detection (2016, A. Célisse)
  • Epidemiology (2016, T.V. Chi)
  • GWAS for prokaryotes (2016, L. Jacob)
  • Big data in biology (2017)
  • medicine and health, and precision medicine, (2017)
  • Bayesian biostatistics and machine learning in bioinformatics, (2017)
  • Computational epidemiology and evolutionary models, (2017)
  • Systems biology and networks (2017)