{"id":19,"date":"2014-12-08T22:26:17","date_gmt":"2014-12-08T22:26:17","guid":{"rendered":"https:\/\/compsysbio.inria.fr\/?page_id=19"},"modified":"2025-10-01T10:28:05","modified_gmt":"2025-10-01T08:28:05","slug":"program","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/compsysbio2025\/program\/","title":{"rendered":"Program"},"content":{"rendered":"

Program can be found here<\/a><\/p>\n

Poster session assignment here<\/a><\/p>\n

Keynote lectures<\/strong><\/h4>\n
Paola Picotti<\/span><\/a><\/strong>
Decoding the protein dance<\/em><\/h6>\n
Mustafa Khammash<\/span><\/a><\/strong>
Programming biology: from control theory to living therapeutics<\/em><\/h6>\n

Plenary lectures<\/strong><\/h4>\n
Multi-scale and spatio-temporal modeling<\/h5>\n
Lucia Marucci<\/span><\/a><\/strong>
Programming cells using feedback control and whole-cell modelling<\/h6>\n
Kirsty Wan<\/span><\/a><\/strong>
Decoding microscale navigation through integrative biophysical modelling<\/h6>\n
Machine learning and AI for systems biology<\/h5>\n
Laura Cantini<\/span><\/a><\/strong>
Multi-modal learning for single-cell multi-omics integration<\/em><\/h6>\n
Barbara Bravi<\/span><\/a><\/strong>
Machine learning models for immune protein interactions<\/em><\/h6>\n
Evolution, Genetics and molecular networks<\/h5>\n
Helen Alexander<\/span><\/a><\/strong>
Quantifying stochastic events in evolution<\/em><\/h6>\n
Steffen Klamt<\/span><\/a><\/strong>
Using mathematical modeling to understand and rationally engineer the microbial metabolism<\/em><\/h6>\n
Elodie Laine<\/span><\/a><\/strong>
From sparse static protein snapshots to continuous motions<\/em><\/h6>\n
Dynamical and stochastic systems<\/h5>\n
Jana Wolf<\/span><\/a><\/strong>
Modeling signal transduction and gene expression in cancer: from information processing to patient specific models<\/em><\/h6>\n
Christoph Zechner<\/span><\/a><\/strong>
Exploiting molecular fluctuations to understand chromatin dynamics and transcription in single cells<\/em><\/h6>\n
Olivier Hamant<\/span><\/strong><\/a><\/strong>
How to build a plant? Fluctuations!<\/em><\/h6>\n

Afternoon blackboard teaching and hands-on sessions (more here<\/a>)<\/strong><\/h4>\n
Didier Gonze<\/a><\/strong>
Deterministic and stochastic modeling of circadian clocks<\/i><\/h6>\n
Hidde de Jong<\/a><\/strong>
Dynamical models integrating metabolism and gene expression<\/i><\/h6>\n
Diana Sz\u00e9liova<\/a> & Hugo Dourado<\/a><\/strong>
Optimal allocation of enzyme resources in cells & Introduction to Growth Balance Analysis<\/em><\/h6>\n
Fran\u00e7ois Nedelec<\/a><\/strong>
Cytoskeleton simulations<\/i><\/h6>\n
Ulysse Herbach<\/a> & Elias Ventre<\/a><\/strong>
Simulation and reverse-engineering of mechanistic GRN-driven models of gene expression<\/i><\/h6>\n
Magali Richard <\/a>& Franck Picard<\/a><\/strong>
Statistical analysis of single cell data<\/i><\/h6>\n
C\u00e9dric Vaillant<\/a> & Daniel Jost<\/a><\/strong>
Multi-scale modeling of chromatin<\/i><\/h6>\n
Andrea Weisse<\/a><\/strong>
Modeling adaptative cellular growth<\/i><\/h6>\n\n\n

<\/p>","protected":false},"excerpt":{"rendered":"

Program can be found here Poster session assignment here Keynote lectures Paola PicottiDecoding the protein dance Mustafa KhammashProgramming biology: from control theory to living therapeutics Plenary lectures Multi-scale and spatio-temporal modeling Lucia MarucciProgramming cells using feedback control and whole-cell modelling Kirsty WanDecoding microscale navigation through integrative biophysical modelling Machine learning\u2026<\/p>\n

Continue reading<\/span><\/i><\/a> <\/p>\n","protected":false},"author":935,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-19","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/compsysbio2025\/wp-json\/wp\/v2\/pages\/19","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/compsysbio2025\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/compsysbio2025\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/compsysbio2025\/wp-json\/wp\/v2\/users\/935"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/compsysbio2025\/wp-json\/wp\/v2\/comments?post=19"}],"version-history":[{"count":86,"href":"https:\/\/project.inria.fr\/compsysbio2025\/wp-json\/wp\/v2\/pages\/19\/revisions"}],"predecessor-version":[{"id":1158,"href":"https:\/\/project.inria.fr\/compsysbio2025\/wp-json\/wp\/v2\/pages\/19\/revisions\/1158"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/compsysbio2025\/wp-json\/wp\/v2\/media?parent=19"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}