Presentations

Note: due to a website refactoring, slides can be unavailable for some of the talks. This should (hopefully) be fixed soon.

Conferences/workshops

Website under construction, conference list will be available soon.

Bayesian inference of parental allele inheritance in fetus for noninvasive prenatal diagnosis (poster)

StatLearn 2023, Montpellier France

Apr 6, 2023

Bayesian inference of parental allele inheritance in fetus for noninvasive prenatal diagnosis (poster)

Statistical Methods for Post-Genomic Data (SMPGD) 2023, Ghent, Belgium

Feb 2, 2023

Reproducible research, Good practices and useful information

mtp-rr2021: Workshop on Reproducible Research, online (organiszed by Montpellier University, France)

Jun 23, 2021

KeOps: seamless Kernel Operations on GPU without memory overflows

useR 2020, online (originally Saint-Louis, Missouri, USA, cancelled due to Covid-19 crisis)

Jul 15, 2020

Genome-wide local ancestry inference in admixed individuals with scalable penalized nearest neighbor algorithm

Statistical Methods for Post Genomic Data (SMPGD) 2020, Pasteur Institute, Paris, France

Jan 23, 2020

KeOps: seamless Kernel Operations on GPU, with auto-differentiation and without memory overflows

Journées Calcul et Données (JCAD) 2019, Toulouse Federal University, Toulouse (France)

Oct 9, 2019

Multivariate analysis of single cell genomic expression data

Paris Single Cell Day (PASIC) 2018, Muséum National d’Histoire Naturelle de Paris, Paris (France)

Oct 4, 2018

Probabilistic Count Matrix Factorization for Single Cell Expression Data Analysis

Research in Computational Molecular Biology, 22nd Annual International Conference RECOMB 2018, Pierre et Marie Curie Campus, Sorbonne University, Paris (France)

Apr 23, 2018

Count-based Probabilistic PCA for single-cell data analysis

ISCB NGS 2017 Structural Variation and Population Genomics, Barcelona Biomedical Research Park, Barcelona (Spain)

Apr 3, 2017

Count Matrix Factorization and Single Cell Data Analysis

Journées Ouvertes de Biologie Informatique et Mathématiques (JOBIM) 2016, ENS Lyon, Lyon (France)

Jun 30, 2016

Count Matrix Factorization for Dimension Reduction and Data Visualization

Statistical Methods for Post-Genomic Data (SMPGD) 2016, Lille University, Lille (France)

Jan 6, 2016

Adaptive Sparse PLS for Logistic Regression

Journées du GDR Stat et Santé, Paris Descartes University, Paris (France)

Jun 12, 2015

Adaptive Sparse PLS for Logistic Regression

47èmes Journées de Statistique de la SFdS (JdS), Lille University, Lille (France)

Jun 2, 2015

Adaptive Sparse PLS for Logistic Regression

Statistical Methods for Post-Genomic Data (SMPGD) 2015, Ludwig-Maximilians-Universität, Munich (Germany)

Feb 13, 2015

Seminars and other talks

R helper packages to develop R packages

BioComputing hub meeting, LBMC, ENS Lyon, France

Feb 28, 2023

Quarto: markdown-based document creation/edition, Static website generator and more

BioComputing hub meeting, LBMC, ENS Lyon, France

Nov 23, 2022

Introducing software licenses, focus on free and open source softwares

BioInfo club, LBMC, ENS Lyon, France

Nov 3, 2022

Les licences logicielles, focus sur le logiciel libre

2ème rencontre ISDM-NUMEV “Logiciel libre : opportunités et valorisation ?”, Campus St Priest, Montpellier University, France

Jun 27, 2022

Statistics and machine learning for applications in biology

Lab seminar, LBMC, ENS Lyon, France

Jan 14, 2022

R shiny: building interactive graphical applications seamlessly

ML-MTP online meeting, IMAG, Montpellier (France)

Feb 18, 2021

Introduction to Machine Learning

Transverse Thematic Meeting on Machine Learning-Deep Learning, Centre de Biochimie Structurale (CBS), Montpellier (France)

Mar 12, 2020

Loter2: Genome-wide local ancestry inference in admixed individuals with scalable penalized nearest neighbor algorithm

GenomeHarvest project seminar, CIRAD, Montpellier (France)

Feb 24, 2020

Seamless Kernel Operations on GPU, with auto-differentiation and without memory overflows

SciDoLySE Meeting, Lyon University, Villeurbanne (France)

Jan 7, 2020

Dimension reduction for Single Cell Expression Data Analysis

Seminar of the Chromatin and cell biology team, Institute of Human Genetics (IGH), Montpellier (France)

Nov 20, 2019

Probabilistic Count Matrix Factorization for Single Cell Expression Data Analysis

Montpellier Bio-Informatics (MBI) meeting, Genopolys, Montpellier (France)

Sep 24, 2019

Probabilistic Count Matrix Factorization for Single Cell Expression Data Analysis

Single-cell RNA-seq Day, INSA Toulouse, Toulouse (France)

Jul 4, 2019

Sparsity and dimension reduction

Bordeaux Data Science conference, Bordeaux (France)

Apr 4, 2019

High Dimensional Classification with combined Adaptive Sparse PLS and Logistic Regression

Statistical modeling Seminar, IRMA, Strasbourg University, Strasbourg (France)

Jun 4, 2018

High Dimensional Classification with combined Adaptive Sparse PLS and Logistic Regression

Statistics seminar, Laboratoire Jean Kuntzmann (LJK), Grenoble Alpes University, Grenoble (France)

May 3, 2018

Multivariate statistics for single-data data analysis: zero-inflated count matrix factorization for data exploration and sparse PLS-based logistic regression for classification

StatOmique group meeting, AgroParisTech, Paris (France)

Mar 27, 2017

Réduction de dimension, sélection de variables et classification supervisée: Sparse PLS et modèle linéaire généralisé (french)

Statistics seminar, Laboratoire J.-A. Dieudonné, Nice-Sophia-Antipolis University, Nice (France)

Sep 4, 2014

Multivariate analysis and dimension reduction: Sparse PLS, a comparative study

Statistics for System Biology seminar, INRA/AgroParisTech, Paris (France)

Sep 17, 2013

Tutorials

Website under construction, tutorial list will be available soon.

Conferences/workshops

Bayesian inference of parental allele inheritance in fetus for noninvasive prenatal diagnosis (poster)

Bayesian inference of parental allele inheritance in fetus for noninvasive prenatal diagnosis (poster)

Reproducible research, Good practices and useful information

KeOps: seamless Kernel Operations on GPU without memory overflows

Genome-wide local ancestry inference in admixed individuals with scalable penalized nearest neighbor algorithm

KeOps: seamless Kernel Operations on GPU, with auto-differentiation and without memory overflows

Multivariate analysis of single cell genomic expression data

Probabilistic Count Matrix Factorization for Single Cell Expression Data Analysis

Count-based Probabilistic PCA for single-cell data analysis

Count Matrix Factorization and Single Cell Data Analysis

Count Matrix Factorization for Dimension Reduction and Data Visualization

Adaptive Sparse PLS for Logistic Regression

Adaptive Sparse PLS for Logistic Regression

Adaptive Sparse PLS for Logistic Regression

Seminars and other talks

R helper packages to develop R packages

Quarto: markdown-based document creation/edition, Static website generator and more

Introducing software licenses, focus on free and open source softwares

Les licences logicielles, focus sur le logiciel libre

Statistics and machine learning for applications in biology

R shiny: building interactive graphical applications seamlessly

Introduction to Machine Learning

Loter2: Genome-wide local ancestry inference in admixed individuals with scalable penalized nearest neighbor algorithm

Seamless Kernel Operations on GPU, with auto-differentiation and without memory overflows

Dimension reduction for Single Cell Expression Data Analysis

Probabilistic Count Matrix Factorization for Single Cell Expression Data Analysis

Probabilistic Count Matrix Factorization for Single Cell Expression Data Analysis

Sparsity and dimension reduction

High Dimensional Classification with combined Adaptive Sparse PLS and Logistic Regression

High Dimensional Classification with combined Adaptive Sparse PLS and Logistic Regression

Multivariate statistics for single-data data analysis: zero-inflated count matrix factorization for data exploration and sparse PLS-based logistic regression for classification

Count Matrix Factorization and Single Cell Data Analysis

Adaptive Sparse PLS for Logistic Regression

Adaptive Spare PLS for Logistic Regression: Dimension reduction, variable selection and classification

Réduction de dimension, sélection de variables et classification supervisée: Sparse PLS et modèle linéaire généralisé (french)

Multivariate analysis and dimension reduction: Sparse PLS, a comparative study

Tutorials

Developing an R package

Introduction to R shiny

A non exhaustive tour of optimization-related tools for machine learning and statistics in R