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)
Simona Cocco (Ecole des Neurosciences Paris Île de France, Paris)
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
Julia Gog (University of Cambridge, Cambridge, UK)
Ruth Heller (Tel Aviv University, Israel) Estimation and testing following aggregated association tests
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
Laurent Jacob (CNRS, LBBE, Université Lyon 1, Lyon)
D.T. Jones (UCL, UK),
Louis Lambrechts (Institut Pasteur, Paris)
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)
Peter Mueller (UT Austin, USA) The future of Bayesian clinical trial design
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
Elizabeth Purdom (UC Berkeley, USA), Estimation of lineage trajectories from single cell mRNA data
Lluis Quintana Murci (Institut Pasteur, France), Evolutionary genetic dissection of the genus Homo and its immune response
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
- Marti-Renom (CRG-CNAG, Barcelona),
- Aleksandra Walczak (Ecole Normale Supérieure, Paris)
- Marloes Maathuis (ETH, Zurich)
- Katharina Proksch (Ruhr University, Bochum)
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, 2018, F. Picard)
- 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)
- Evolutionary models and Bayesian inference (2018, P. Pudlo)
- Non parametric Bayes and Health (2018, A. Cleynen)
- Analysis of biological images (2019, Jean-Christophe Olivo-Marin),
- Causal inference (2019 Vivian Viallon),
- Genome conformation (2019, Guillaume Filion)
- Evolution of inter-species interactions (2020, organized by Bastien Boussau and Damien de Vienne)
- Machine learning algorithms for computational biology (2020, organized by Chloé-Agathe Azencott)
- Evolution and epidemiology (2020, organized by Amandine Véber)