Program
Program can be found here
Poster session assignment here
Keynote lectures
Mustafa Khammash
Programming biology: from control theory to living therapeutics
Plenary lectures
Multi-scale and spatio-temporal modeling
Lucia Marucci
Programming cells using feedback control and whole-cell modelling
Kirsty Wan
Decoding microscale navigation through integrative biophysical modelling
Machine learning and AI for systems biology
Laura Cantini
Multi-modal learning for single-cell multi-omics integration
Barbara Bravi
Machine learning models for immune protein interactions
Evolution, Genetics and molecular networks
Helen Alexander
Quantifying stochastic events in evolution
Steffen Klamt
Using mathematical modeling to understand and rationally engineer the microbial metabolism
Elodie Laine
From sparse static protein snapshots to continuous motions
Dynamical and stochastic systems
Jana Wolf
Modeling signal transduction and gene expression in cancer: from information processing to patient specific models
Christoph Zechner
Exploiting molecular fluctuations to understand chromatin dynamics and transcription in single cells
Olivier Hamant
How to build a plant? Fluctuations!
Afternoon blackboard teaching and hands-on sessions (more here)
Didier Gonze
Deterministic and stochastic modeling of circadian clocks
Hidde de Jong
Dynamical models integrating metabolism and gene expression
Diana Széliova & Hugo Dourado
Optimal allocation of enzyme resources in cells & Introduction to Growth Balance Analysis
Ulysse Herbach & Elias Ventre
Simulation and reverse-engineering of mechanistic GRN-driven models of gene expression
Andrea Weisse
Modeling adaptative cellular growth
