Keynote speakers
(© Katarzyna Novak)
, 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.
(© ETH Zurich)
, ETH Zurich, CH
The 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.
Plenary lecturers
, University of Edinburgh, UK
The 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 ‘evolutionary rescue’ of bacterial populations leading to antibiotic resistance
, Imperial College London, UK.
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
(© Frédéric Albert 2021)
The 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.
Olivier Hamant is studying the question of biological robustness in plant systems, with transversal implications in socio-ecology and economy.
, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, GER.
The 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.
, CQSB, Sorbonne Université, Paris, FR.
The Laine group develops computational methods for deciphering the complexities behind the sequence-structure-function relationship of proteins.
, BrisSynBio, University of Bristol, UK
The 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.
, Living Systems Institute, University of Exeter, UK
The 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.
(© Heidi Scherm)
The 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.
(© MPI-CBG)
The Zechner lab combines physics and mathematics to study stochastic processes in biology.
Afternoon blackboard teaching and hands-on sessions will be given by
Hugo Dourado, Institute for Computer Science and Department of Biology, Heinrich-Heine University, Düsseldorf, GER.
Hugo Dourado’s research focuses on understanding cell biology and evolution using the analytical tools of mathematical optimization.
Didier Gonze, Unit of Theoretical Chronobiology, Université Libre de Bruxelles, BEL.
The Gonze’s group focuses on deterministic and stochastic modeling of gene regulatory networks (circadian clocks, cell cycle, embryonic development, calcium signalling).
Hidde de Jong, MICROCOSM, Inria – Université Grenoble Alpes, FR.
The MICROCOSM research group combines computational and experimental approaches for the analysis, engineering, and control of the growth of microorganisms.
Daniel Jost, LBMC, CNRS, ENS de Lyon, FR.
The Jost group investigates the generic principles driving chromatin folding and regulation by developing physical and computational models, in close connection with experimental biology.
Wolfram Liebermeister, INRAE, research unit MaIAGE, Jouy-en-Josas, FR.
Wolfram Liebermeister is a systems biologist working on cell metabolism, where he highlights functional aspects such as control, variability, and more generally the “economy of the cell”.
François Nedelec, Sainsbury lab, Cambridge University, UK.
Nedelec group uses simulations, theory, and experimental insights to investigate how cytoskeletal systems organize and function.
(© Angelique Mian)
Anna Niarakis, Center of Integrative Biology, University Toulouse III, CNRS, FR.
The Niarakis group develops data analysis and large-scale computational modelling for complex human pathologies, especially autoimmune diseases.
Franck Picard
LBMC, CNRS, ENS de Lyon, FR.
Magali Richard , TIMC, CNRS, Université Grenoble-Alpes, FR.
The Richard group is interested in developing statistical and computational methods for the analysis of tumor heterogeneity.
Cédric Vaillant
LPENSL, CNRS, ENS de Lyon, FR.
Cédric 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.
