Publications

  • Evaluating cancer etiology and risk with a mathematical model of tumor evolution
    S. Pénisson, A. Lambert, C. Tomasetti (2022), Nature Communications, Volume 13 n°7224, doi:10.1038/s41467-022-34760-1
  • Why are viral genomes so fragile? The bottleneck hypothesis
    N. Merleau, S. Pénisson, P. Gerrish, S. Elena, M. Smerlak (2021), PLOS Computational Biology, 17(7): e1009128, doi:10.1371/journal.pcbi.1009128
  • Larger organ size caused by obesity is a mechanism for higher cancer risk
    H. Grant, Y. Zhang, L. Li, Y. Wang, S. Kawamoto, S. Pénisson, D. F. Fouladi, S. Shayesteh, A. Blanco, S. Ghandili, E. Zinreich, J. S. Graves, S. Park, S. Kern, J. Hooper, A. L. Yuille, E. K. Fishman, L. Chu, C. Tomasetti (2020), bioRxiv, doi:10.1101/2020.07.27.223529
  • A mathematical model for the ancestor paradox
    S. Pénisson (2020), Proceedings of the Symposium on Genealogy and the Sciences, Weizmann Institute of Science, Israel, ISBN: 978-0-9668021-7-9, PDF
  • Dynamics and fate of beneficial mutations under lineage contamination by linked deleterious mutations
    S. Pénisson, T. Singh, P. Sniegowski and P. Gerrish (2017), Genetics, Volume 205 n°3, 1305-1318, doi:10.1534/genetics.116.194597
  • Beyond the Q-process: various ways of conditioning the multitype Galton-Watson process
    S. Pénisson (2016),     ALEA, Lat. Am. J. Probab. Math. Stat., Volume 13 n°1, 223-237, PDF
  • The BSE epidemic in Great-Britain: a generic example of risk assessment during the growth and decay phases
    C. Jacob and S. Pénisson (2016), Journal de la Société Française de Statistique: Special Issue on Modelling and Inference for Infectious diseases, Volume 157 n°1, 101-128, PDF
  • Estimation of the infection parameter of an epidemic modeled by a branching process
    S. Pénisson (2014), Electronic Journal of Statistics, Volume 8 n°2, 2158-2187, doi:10.1214/14-EJS948
  • Lineage dynamics and mutation-selection balance in non-adapting asexual populations
    S. Pénisson, P. D. Sniegowski, A. Colato and P. J. Gerrish (2013), Journal of Statistical Mechanics: Theory and Experiment, P01013, doi:10.1088/1742-5468/2013/01/P01013
  • Stochastic methodology for the study of an epidemic decay phase, based on a branching model
    S. Pénisson and C. Jacob (2012), International Journal of Stochastic Analysis, Volume 2012, Article ID 598701, doi:10.1155/2012/598701
  • Continuous-time multitype branching processes conditioned on very late extinction
    S. Pénisson (2011), ESAIM: Probability and Statistics, Volume 15, 417-442, doi:10.1051/ps/2010011

PhD Dissertation

Conditional limit theorems for multitype branching processes and illustration in epidemiological risk analysis
Summary (English, French, German)
PDF on the publication server of the Universität Potsdam / PDF on the publication server TEL

Supervised by Sylvie Roelly (Universität Potsdam) and Christine Jacob (INRA Jouy-en-Josas)
Defense on July 16th, 2010 at the Universität Potsdam

Other publications

  • Trouver une faille dans la progression cancéreuse
    Un jour, une brève, Mathématiques de la planète Terre (2013)
    Available here
  • Euler approximations of Lévy-noise driven linear SDEs and exit times
    Master thesis (2007), supervised by Peter Imkeller (Humboldt Universität zu Berlin)
  • Modélisation dynamique de la hauteur d'une mare dans le cadre de l'étude épidémiologique de la Fièvre de la Vallée du Rift (PDF)
    Internship report (2005) in INRA Jouy-en-Josas, supervised by Christine Jacob