<\/p>","protected":false},"excerpt":{"rendered":" Keynote speakers (\u00a9 Katarzyna Novak) Paola Picotti, Institute of Molecular Systems Biology, ETH Zurich, CH The Picotti lab investigates how protein conformational changes impact cellular physiology and result in human disease using experimental systems biology approaches. (\u00a9 ETH Zurich) Mustafa Khammash, ETH Zurich, CH The Khammash group develops mathematical and\u2026<\/p>\n![\"\"](\"http:\/\/project.inria.fr\/compsysbio2025\/files\/2025\/03\/Portrait-Picotti-2023-HighRes-scaled.jpg\")
<\/a><\/p>\n(\u00a9 Katarzyna Novak<\/span>)<\/h6>\n
Paola Picotti<\/span><\/a>,<\/strong> Institute of Molecular Systems Biology, ETH Zurich, CH<\/em><\/span>
\nThe Picotti lab investigates how protein conformational changes impact cellular physiology and result in human disease using experimental systems biology approaches.<\/h6>\n
\n<\/a><\/p>\n(\u00a9 ETH Zurich)<\/h6>\n
Mustafa Khammash<\/span><\/a>, <\/strong>ETH Zurich, CH<\/em>
\nThe Khammash group develops mathematical and experimental methods to elucidate biological regulation and engineer synthetic circuits for controlling stochastic dynamics in living cells, with applications in synthetic biology, biotechnology and medicine.<\/h6>\nPlenary lecturers<\/strong><\/h4>\n
<\/a><\/p>\nHelen Alexander<\/span><\/a>, <\/strong>University of Edinburgh, UK<\/em>
\nThe Alexander group uses mathematical models and in vitro experiments to address questions in evolutionary biology, ecology, and infectious disease dynamics, with a focus on the \u2018evolutionary rescue\u2019 of bacterial populations leading to antibiotic resistance<\/h6>\n
\n<\/a><\/p>\nBarbara Bravi<\/span><\/a>, <\/strong>Imperial College London, UK.<\/em>
\n\u00a0<\/em>Barbara Bravi’s main research interests are in statistical biophysics, using tools from machine learning and stochastic processes and with applications to cancer evolution and immunology<\/h6>\n
\n<\/a><\/p>\n(\u00a9 Fr\u00e9d\u00e9ric Albert 2021)<\/h6>\n
Laura Cantini, <\/span><\/a><\/strong>Institut Pasteur, University of Paris, FR.<\/span><\/em>
\nThe Cantini lab works at the interface of machine learning and genomics, developing methods exploiting the full richness and complementarity of the available single-cell data to derive actionable biological knowledge.<\/h6>\n
\n<\/a><\/h6>\nOlivier Hamant<\/span><\/a><\/strong>, <\/span><\/a>RDP, ENS de Lyon, FR.<\/span><\/em>
\nOlivier Hamant is studying the question of biological robustness in plant systems, with transversal implications in socio-ecology and economy.<\/h6>\n
\n<\/a><\/p>\nSteffen Klamt<\/span><\/a>, <\/strong>Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, GER.<\/em>
\nThe Klamt group develops mathematical methods for systems and computational biology and combines them with experimental investigations to obtain a systems-level understanding of the metabolism in microorganisms and to design cell factories for biotechnological applications.<\/h6>\n
\n<\/a><\/p>\nElodie Laine<\/span><\/a>, <\/strong>CQSB, Sorbonne Universit\u00e9, Paris, FR.<\/em>
\nThe Laine group develops computational methods for deciphering the complexities behind the sequence-structure-function relationship of proteins.<\/h6>\n
\n<\/a><\/p>\nLucia Marucci<\/span><\/a>, <\/strong>BrisSynBio, University of Bristol, UK<\/em>
\nThe Marucci group aims at quantitively understanding and directly engineering cell functions using mathematical modelling, control engineering and machine learning, with applications spanning biotechnology and healthcare.<\/h6>\n
\n<\/a><\/p>\nKirsty Wan<\/span><\/a><\/strong>, Living Systems Institute, University of Exeter, UK<\/em>
\nThe Wan group studies the fundamental question of how cells move, integrating experimental, theoretical and computational approaches to reveal biophysical mechanisms of motility at the microscopic scale.<\/h6>\n
\n<\/a><\/h6>\n(\u00a9 Heidi Scherm)<\/h6>\n
Jana Wolf<\/span><\/a><\/strong>, MDC for Molecular Medecine & Department of Mathematics and Computer Science, Free University Berlin, GER.<\/span><\/em>
\nThe Wolf group studies computational models of signaling pathways, gene-regulation and metabolic networks in normal and disease states with a focus on processes in cancer biology and early development.<\/span><\/h6>\n
\n<\/a>(\u00a9 MPI-CBG)<\/h6>\nChristoph Zechner<\/span><\/a><\/strong>, SISSA, Trieste, IT.<\/em><\/span>
\nThe Zechner lab combines physics and mathematics to study stochastic processes in biology.<\/h6>\nAfternoon blackboard teaching and hands-on sessions will be given by<\/strong><\/h4>\n
<\/a><\/h6>\nHugo Dourado,<\/a><\/strong> Institute for Computer Science and Department of Biology, Heinrich-Heine University, D\u00fcsseldorf, GER.<\/em>
\nHugo Dourado’s research focuses on understanding cell biology and evolution using the analytical tools of mathematical optimization.<\/h6>\n
\n<\/a><\/p>\nUlysse Herbach<\/span><\/a>, <\/strong>INRIA Nancy, Univ Lorraine, FR<\/em>.<\/em>
\nUlysse Herbarch’s research focuses on modeling and characterizing circulating tumor DNA (ctDNA) dynamics for detecting resistance to targeted therapies using mathematical biology.<\/h6>\n
\n<\/a><\/h6>\nDidier Gonze<\/a>, <\/strong>Unit of Theoretical Chronobiology, Universit\u00e9 Libre de Bruxelles, BEL.<\/em>
\nThe Gonze’s group focuses on deterministic and stochastic modeling of gene regulatory networks (circadian clocks, cell cycle, embryonic development, calcium signalling).<\/h6>\n
\n<\/h6>\nHidde de Jong<\/a>, <\/strong>MICROCOSM, Inria – Universit\u00e9 Grenoble Alpes, FR.<\/em>
\nThe MICROCOSM research group combines computational and experimental approaches for the analysis, engineering, and control of the growth of microorganisms.<\/h6>\n
\n<\/a><\/p>\nDaniel Jost<\/a><\/strong>, LBMC, CNRS, ENS de Lyon, FR.<\/em>
\nThe Jost group investigates the generic principles driving chromatin folding and regulation by developing physical and computational models, in close connection with experimental biology.<\/h6>\n
\n<\/h6>\n
\u00a0
<\/a><\/h6>\nDiana Sz\u00e9liova<\/a>, Univ Vienna, AUST.<\/em>
\nDiana Sz\u00e9liov\u00e1 studies resource allocation and evolution in microorganisms using constraint-based modeling methods such as resource balance analysis and growth balance analysis.<\/h6>\n
\n<\/a><\/p>\nFran\u00e7ois<\/a><\/strong> Nedelec<\/a>, Sainsbury lab, Cambridge University, UK.<\/em>
\nNedelec group uses simulations, theory, and experimental insights to investigate how cytoskeletal systems organize and function.<\/h6>\n
\nFranck Picard<\/a><\/strong>
\nLBMC, CNRS, ENS de Lyon, FR.<\/i><\/h6>\n
\n<\/a><\/h6>\nMagali Richard <\/a><\/strong>, TIMC, CNRS, Universit\u00e9 Grenoble-Alpes, FR.<\/em>
\nThe Richard group is interested in developing statistical and computational methods for the analysis of tumor heterogeneity.
\n<\/i><\/h6>\n
\n<\/a><\/h6>\nC\u00e9dric Vaillant<\/a> , <\/strong>LPENSL, CNRS, ENS de Lyon, <\/i>FR.<\/em>
\nC\u00e9dric Vaillant’s research focuses on developing theoretical models of chromatin at different scales from the positioning of nucleosomes to the large-scale organization of the genome.<\/h6>\n
\n<\/a><\/p>\nElias Ventre<\/a> , <\/strong>COMPO team, INRIA, Marseille, <\/i>FR.<\/em>
\nElias Ventre’s research focuses on modeling gene expression at the molecular level for studying cellular fate using multiscale analysis of stochastic hybrid processes.<\/h6>\n
\n<\/a><\/p>\nAndrea Weisse<\/a>, <\/strong>School of Informatics & School of Biological Sciences, University of Edinburgh, UK<\/em>
\nThe Weisse group uses computational modelling and data analysis to better understand bacterial responses to antibiotics.<\/h6>\n<\/h6>\n