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)
Guy Baele (KU Leuven, Belgium), Incorporating individual travel histories in Bayesian phylogeographic inference of SARS-CoV-2
N. Beerenwinkel (ETH, Zurich, Switzerland)
K. Borgwardt Beyond the Support Vector Machine: Kernels in Bioinformatics
Helen Byrne (Oxford University) : Approaches to understanding tumour-immune interactions
Mathieu Carrière(Sophia Antipolis, INRIA), An introduction to Topological Data Analysis and its application to genomic data
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)
Juan Cortés (CNRS, Toulouse) : A data-driven approach for modeling highly-flexible proteins and regions
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
Georg Daniel FÖRSTER et al. Inference of the populations of protein structure ensembles from NMR chemical shift data
Julia Gog (University of Cambridge, Cambridge, UK)
Marina Gomtsyan et al. Variable selection in sparse GLARMA models
Boris Hejblum (Université de Bordeaux) : Distribution-free complex hypothesis testing for single-cell RNA-seq differential expression analysis
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
Iuliana Ionita-Laza (Columbia University) Knockoff-based statistics for the identification of putative causal loci in genetic studies
Geert-Jan Huizing et al. Optimal Transport improves cell-cell similarity inference in single-cell omics data
Laurent Jacob (CNRS, LBBE, Université Lyon 1, Lyon)
D.T. Jones (UCL, UK),
Louis Lambrechts (Institut Pasteur, Paris)
Fabien Laporte et al. MM4LMM: a R package to infer variance component mixed models
N. Lawrence (U. Sheffield), Between Systems and Data-driven Modeling for Computational Biology: Target Identification with Gaussian Processes
Martial Marbouty (Institut Pasteur, Paris)
F. Markowetz (CR UK - CRI, Cambridge, UK)
François Massol (CNRS, Lille) : Analyzing determinants of gut microbiota using interaction network methods
Eleni Matechou (Senior lecturer, University of Kent) : New statistical methods for eDNA data
C. Matias (CNRS, Univ. Evry), Statistical Alignment
Gildas Mazo et al. Statistical multivariate modelling of omics data with copulas
G. Mc Vean (Univ. of Oxford), A fine-scale map of the chimpanzee from population scale sequencing
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
Mitsuhiro Odaka et al. Exploring Differential Equations for Modeling SARS-CoV-2 Dynamics with Sensitivity and Stability Analysis
Hervé Perdry (Université Paris-Saclay, INSERM), Fast methods for mixed logistic regression in genome-wide association studies
Florian Privé ( Aarhus University, Denmark), Predicting traits and diseases from genetic data
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
Manon Ragonnet-Cronin (Imperial College London) , Insights into SARS-CoV-2 spread from viral genetic data
P. Reynaud (Nice University), Hawkes process as models for some genomic data
S. Richardson (MRC Biostatistics Unit, Cambridge, UK)
- Hélène Ruffieux et al. EPISPOT: an epigenome-driven approach for detecting and interpreting hotspots in molecular QTL studies
Yvan Saeys (Ghent University),Towards robust feature selection for high-dimensional, small sample settings
Yvan Saeys (Ghent University, Belgium), Modeling cellular dynamics and communication from single-cell data: a machine learning perspective
Thomas Schiex (INRAE, Toulouse) : Automated reasoning and learning for Computational Protein Design
Catherine Schramm et al. Penetrance estimation of Alzheimer disease in SORL1 loss-of-function variant carriers using a family-based strategy adjusted on APOE genotypes
B. Schwikowski (Institut Pasteur)
Hervé Seitz (IGH, Montpellier)
Pierre-Emmanuel Sugier et al. Advanced Bayesian meta-analysis methods for investigating pleiotropy effect
A. van der Vaart (Leiden University, Leiden, The Netherlands)
A. Veber (Ecole Polytechnique, Palaiseau), Evolution in a spatial continuum
Marie Verbanck (Université de Paris) Tissue-specific genetic features inform prediction of drug side effects in clinical trials
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)
Ariane Weber (TIDE, Max Planck Institute, Deutschland), Quantification of SARS-CoV-2 transmission through time and betweenlineages using phylodynamics
Maite Wilke Berenguer(Assistant professor Ruhr-Universität Bochum) : Lambda-coalescents arising from dormancy
Marloes Maathuis (ETH, Zurich)
Katharina Proksch (Ruhr University, Bochum)
Wencan ZHU et al. A variable selection approach for highly correlated predictors in high-dimensional genomic data
Anna Zhukova et al. Fast and Accurate Resolution of the Birth-Death Exposed-Infectious (BDEI) Model
Past Themes (and session organizers)
Cancer applications (2009, E. Barillot)
Large dimension data (2009, F. Picard)
Phylogeny (2009, 2014, A. Bar-Hen, N. Lartillot)
Feature Selection (2010, B. Ghattas)
multiple testing (2011, J. Goeman)
Statistical genetics (2011,M.L. Taupin)
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)
Environmental DNA (2021, organized by Julyan Arbel and Alexandros Stamatakis)
Genomics in Biomedical Research (2021, organized by Franck Picard)
SpatioTemporal Evolution & population Genetics (2021, organized by Amandine Veber)
Artificial Intelligence methods for protein modeling and design (2021, organized by Pierre Neuvial)
Next Generation Association Studies (2022)
Single-Cell and Intercellular Communication (2022)
Sarscov2, Epidemiology and Phylodynamics (2022)
Topological Data Analysis and other methods (2022)