I am a CNRS researcher in bioinformatics, with a background in molecular biology, genetics, and computational biology. My research focuses on tumor heterogeneity, method development, and cancer biology, and I also promote collaborative science by organizing data challenges.
Recommended citation: K. Legent, J. Steinhauer, M. Richard, J. E. Treisman. A screen for X-linked mutations affecting Drosophila photoreceptor differentiation identifies Casein kinase 1α as an essential negative regulator of wingless signaling, Genetics, February 2012
Recommended citation: M. Richard, T. Boulin, V. J. P. Robert, J. E. Richmond et al.. Biosynthesis of ionotropic acetylcholine receptors requires the evolutionarily conserved ER membrane complex, Proceedings of the National Academy of Sciences, March 2013 Download Paper
Recommended citation: F. Chuffart, M. Richard, D. Jost, C. Burny et al.. Exploiting Single-Cell Quantitative Data to Map Genetic Variants Having Probabilistic Effects, PLOS Genetics, August 2016 Download Paper
Recommended citation: M. Richard, F. Chuffart, H. Duplus-Bottin, F. Pouyet et al.. Assigning function to natural allelic variation via dynamic modeling of gene network induction, Molecular Systems Biology, January 2018
Recommended citation: J. Salignon, M. Richard, E. Fulcrand, H. Duplus-Bottin et al.. Genomics of cellular proliferation in periodic environmental fluctuations, Molecular Systems Biology, March 2018
Recommended citation: M. Richard, C. Decamps, F. Chuffart, E. Brambilla et al.. PenDA, a rank-based method for personalized differential analysis: Application to lung cancer, PLOS Computational Biology, May 2020 Download Paper
Recommended citation: HADACA consortium, C. Decamps, F. Privé, R. Bacher et al.. Guidelines for cell-type heterogeneity quantification based on a comparative analysis of reference-free DNA methylation deconvolution software, BMC Bioinformatics, December 2020 Download Paper
Recommended citation: C. Decamps, A. Arnaud, F. Petitprez, M. Ayadi et al.. DECONbench: a benchmarking platform dedicated to deconvolution methods for tumor heterogeneity quantification, BMC bioinformatics, October 2021
Recommended citation: Z. Xu, S. Escalera, A. Pavão, M. Richard et al.. Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform, Patterns, June 2022 Download Paper
Recommended citation: C. Saillard, F. Delecourt, B. Schmauch, O. Moindrot et al.. Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic adenocarcinoma, Nature Communications, June 2023 Download Paper
Recommended citation: S. Karkar, A. Sharma, C. Herrmann, Y. Blum et al.. DECOMICS, a shiny application for unsupervised cell type deconvolution and biological interpretation of bulk omic data, Bioinformatics Advances, January 2024 Download Paper
Recommended citation: F. Pittion, M. Richard, O. Francois, B. Jumentier. hdmax2: R package hdmax2 performs high dimension mediation analysis, July 2024 Download Paper
Recommended citation: F. Pittion, B. Jumentier, A. Nakamura, J. Lepeule et al.. hdmax2, an R package to perform high dimension mediation analysis, September 2024 Download Paper
Recommended citation: E. Amblard, V. Bertrand, L. M. Pena, S. Karkar et al.. A robust workflow to benchmark deconvolution of multi-omic data, November 2024 Download Paper
Recommended citation: F. Pittion, E. Amblard, E. Devijver, A. Samson et al.. DNA methylation and immune infiltration mediate the impact of tobacco exposure on pancreatic adenocarcinoma outcome: a high-dimensional mediation analysis, September 2025 Download Paper
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Recommended citation: K. Legent, J. Steinhauer, M. Richard, J. E. Treisman. A screen for X-linked mutations affecting Drosophila photoreceptor differentiation identifies Casein kinase 1α as an essential negative regulator of wingless signaling, Genetics, February 2012
Recommended citation: M. Richard, T. Boulin, V. J. P. Robert, J. E. Richmond et al.. Biosynthesis of ionotropic acetylcholine receptors requires the evolutionarily conserved ER membrane complex, Proceedings of the National Academy of Sciences, March 2013 Download Paper
Recommended citation: F. Chuffart, M. Richard, D. Jost, C. Burny et al.. Exploiting Single-Cell Quantitative Data to Map Genetic Variants Having Probabilistic Effects, PLOS Genetics, August 2016 Download Paper
Recommended citation: M. Richard, F. Chuffart, H. Duplus-Bottin, F. Pouyet et al.. Assigning function to natural allelic variation via dynamic modeling of gene network induction, Molecular Systems Biology, January 2018
Recommended citation: J. Salignon, M. Richard, E. Fulcrand, H. Duplus-Bottin et al.. Genomics of cellular proliferation in periodic environmental fluctuations, Molecular Systems Biology, March 2018
Recommended citation: M. DAlessandro, M. Richard, C. Stigloher, V. Gache et al.. CRELD1 is an evolutionarily-conserved maturational enhancer of ionotropic acetylcholine receptors, eLife, November 2018
Recommended citation: M. Richard, C. Decamps, F. Chuffart, E. Brambilla et al.. PenDA, a rank-based method for personalized differential analysis: Application to lung cancer, PLOS Computational Biology, May 2020 Download Paper
Recommended citation: HADACA consortium, C. Decamps, F. Privé, R. Bacher et al.. Guidelines for cell-type heterogeneity quantification based on a comparative analysis of reference-free DNA methylation deconvolution software, BMC Bioinformatics, December 2020 Download Paper
Recommended citation: C. Decamps, A. Arnaud, F. Petitprez, M. Ayadi et al.. DECONbench: a benchmarking platform dedicated to deconvolution methods for tumor heterogeneity quantification, BMC bioinformatics, October 2021
Recommended citation: Z. Xu, S. Escalera, A. Pavão, M. Richard et al.. Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform, Patterns, June 2022 Download Paper
Recommended citation: C. Saillard, F. Delecourt, B. Schmauch, O. Moindrot et al.. Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic adenocarcinoma, Nature Communications, June 2023 Download Paper
Recommended citation: S. Karkar, A. Sharma, C. Herrmann, Y. Blum et al.. DECOMICS, a shiny application for unsupervised cell type deconvolution and biological interpretation of bulk omic data, Bioinformatics Advances, January 2024 Download Paper
Recommended citation: M. Richard, Y. Blum, J. Guinney, G. Stolovitzky et al.. AI Competitions and Benchmarks, Practical issues: Proposals, grant money, sponsors, prizes, dissemination, publicity, January 2024 Download Paper
Recommended citation: F. Pittion, M. Richard, O. Francois, B. Jumentier. hdmax2: R package hdmax2 performs high dimension mediation analysis, July 2024 Download Paper
Recommended citation: F. Pittion, B. Jumentier, A. Nakamura, J. Lepeule et al.. hdmax2, an R package to perform high dimension mediation analysis, September 2025 Download Paper
Recommended citation: E. Amblard, V. Bertrand, L. M. Pena, S. Karkar et al.. A robust workflow to benchmark deconvolution of multi-omic data, November 2024 Download Paper
Recommended citation: F. Pittion, E. Amblard, E. Devijver, A. Samson et al.. DNA methylation and immune infiltration mediate the impact of tobacco exposure on pancreatic adenocarcinoma outcome: a high-dimensional mediation analysis, September 2025 Download Paper