Talks

You can find below a list of talks I (or one of my co-authors) have given the last years, sorted in decreasing chronological order or by topics.

• M. Pacault, C. Verebi, M. Champion, L. Orhant, A. Perrier, C. Férec, T. Bienvenu, R. Daveau and J. Nectoux. Non-invasive prenatal diagnosis of monogenic diseases by enhanced relative haplotype dosage analysis. European Human Genetics Conference (ESHG), Vienna, Austria (2022).

• M. Champion, J. Chiquet, P. Neuvial, M. Elati, F. Radvanyi and E. Birmelé. Identification of deregulated transcription factors in specific bladder cancer subtypes. 12th International Conference on Bioinformatics and Computational Biology (BICOB), San Francisco, United States (2020). Canceled due to Coronavirus.

• M. Champion, K. Brennan, T. Croonenborghs, A. Gentles, N. Pochet and O. Gevaert. Module Analysis Captures Pancancer Genetically and Epigenetically Deregulated Cancer Driver Genes for Smoking and Antiviral Response. Intelligent Systems for Molecular Biology (ISMB), Boston, United States (2018).

• M. Champion, J. Chiquet, P. Neuvial, M. Elati and E. Birmelé. Identification of deregulated transcription factors in specific subtypes of cancer. 16th International Conference on Bioinformatics (InCoB), Shenzhen, China (2017).

• M. Champion and O. Gevaert. Pancancer module analysis captures major oncogenic pathways and identifies master regulator of immune response. Keystone symposia on Molecular and Cellular Biology: The Cancer Genome, Banff, Canada (2016).

• M. Champion and O. Gevaert. Multi-omics data fusion for cancer data. 14th Annual International Conference on Critical Assessment of Massive Data Analysis (CAMDA), Dublin, Ireland (2015).

• M. Champion, G. Chastaing, S. Gadat and C. Prieur. L2-Boosting on Generalized Hoeffding Decomposition for Dependent Variables. SIAM Conference on Uncertainty Quantification, Savannah, United States (2014).

• M. Champion, J. Vandel, C. Cierco-Ayrolles, S. Gadat and M. Vignes. An L2-Boosting algorithm for sparse multivariate regression: application to gene network recovery. NIPS Machine Learning for Computational Biology Workshop, Sierra Nevada, Spain (2011).

• M. Pacault, C. Verebi, M. Champion, L. Orhant, A. Perrier, C. Férec, T. Bienvenu, R. Daveau and J. Nectoux. Non-invasive prenatal diagnostic of monogenic diseases by relative haplotype dosage. 11th Meeting of Human and Medical Genetics, Rennes, France (2022).

• J. Nectoux, C. Verebi, R. Daveau, A. Launois, L. Orhant, G. Leroy, M. Champion, D. Bouvet, C. Saint-Martin, C. Ciangura, and C. Bellané-Chantelot. Non-invasive prenatal determination of the fetal genotype for pregnant women suffering from monogenic diabetes MODY-GCK: feasibility study on 24 patients. 11th Meeting of Human and Medical Genetics, Rennes, France (2022).

• M. Pacault, C. Férec and M. Champion. Non Invasive Prenatal Diagnosis of Single Gene Disorders using long read technologies. Scientific days from the Biological-Health doctoral school, Angers, France (2019).

• M. Champion, V. Picheny and M.Vignes. GADAG: an R-package for inferring Directed Acyclic Graphs by penalized maximum likelihood. 6th R meeting, Anglet, France (2017).

• M. Champion, V. Picheny and M.Vignes. Inferring Directed Acyclic Graphs by penalized maximum likelihood. 49th Statistics days of the French Statistical Society, Avignon, France (2017).

• M. Champion, J. Chiquet, P. Neuvial and E. Birmelé. Identification of deregulated transcription factors in bladder cancer. Colloquim CARTABLE for Network Learning, Toulouse, France (2016).

• M. Champion and O. Gevaert. Pancancer module analysis captures major oncogenic pathways and identifies master regulator of immune response. Stanford Cancer Institute Trainees Symposium, Stanford, United States (2016).

• M. Champion and O. Gevaert. Multi-omics data fusion for cancer data. StatMathAppli conference, Fréjus, France (2015).

• M. Vignes, M. Champion and V. Picheny. Statistical causal inference in a complex system - an hybrid convex-genetic algorithm. Joint New Zealand Statistical Association (NZSA) and Operations Research Society of New Zealand (ORSNZ) conference, Wellington, New Zealand (2014).

• M. Champion, C. Cierco-Ayrolles, S. Gadat and M. Vignes. Convex optimization for learning Gene Regulatory Network. StatMathAppli conference, Fréjus, France (2013).

• M. Champion, C. Cierco-Ayrolles, S. Gadat and M. Vignes. Results on the L2-Boosting algorithms for sparse regressions. 45th Statistics days of the French Statistical Society, Toulouse, France (2013).

• “l1-spectral clustering algorithm: a robust spectral clustering using Lasso regularization”:

  • 03/04/22 at ETH Zürich,

  • 02/11/22 webtalk for the Statistical learning seminar,

  • 01/08/21 at Université de Rennes.

• “Sparse regression and optimization in high-dimensional framework for Gene Regulatory Network inference: application to cancer data”:

  • 05/23/19 at Université de Rouen,

  • 03/05/18 at Université de Montpellier,

  • 01/15/18 at AgroParisTech,

  • 10/09/17 at Université d’Angers,

  • 02/10/17 at Université de Rennes,

  • 01/30/17 at Université de Marseille,

  • 01/18/17 at Université de Lille I,

  • 12/06/16 at Université Toulouse III,

  • 11/24/16 at INRIA Nancy.

• “Identification of deregulated transcription factors in bladder cancer”: 11/27/19 at Université de Lille.

• “AMARETTO: a multi-omics data integration framework”:

  • 02/19/19 at Université de Bordeaux,

  • 12/06/18 at INRIA Nancy,

  • 12/14/17 at Université de Montpellier,

  • 09/08/17 at INRA Toulouse,

  • 01/21/16 at Stanford University,

  • 09/25/15 webtalk for the Cancer Target Discovery Network.

• “Sparse regression and optimization in high-dimensional framework: application to Gene Regulatory Netowrks”:

  • 03/17/15 at INRIA Lille,

  • 11/06/14 at Université de Nantes,

  • 10/07/14 at Université Toulouse I.

• “Statistical causal inference of Gene Regulatory Networks using l1 penalized likelihood”: 03/10/15 at INRA Jouy-en-Josas.

• “An hybrid convex/greedy algorithm for learning DAG”:

  • 06/16/2014 at Université de Strasbourg,

  • 03/20/14 at MIA Colloquim in Ecully.

• “Convex optimization for learning Gene Regulatory Network”:

  • 09/12/13 for the NETBIO workgroup in Paris,

  • 06/14/13 at INRA Toulouse.

• “Résultats sur les algorithmes de L2-Boosting pour les régressions sparses : cadre formel et extensions à la situation multivariée”: 02/04/13 at INRA Montpellier.