Séminaire INRIabcd

Towards real-time in vivo mathematical biology at the level of single cells

par M. Jakob Ruess (Inria Palaiseau)

Europe/Paris
432 (Bât. CEI 2, Inria)

432

Bât. CEI 2, Inria

INRIA- antenne Lyon- La Doua, Batiment CEI-2 (tram: T1-IUT FEYSSINE)
Description
"You don't need to be good in mathematics to be successful in science. You just need to know a good mathematician." This statement is typically made as a joke, but it is obviously also meant to stress the importance of mathematics in science. As I would argue, it also provides a good description of how biology has in many cases been dealing with the new challenges resulting from the rapidly improving capacities in data collection in the last decades: through collaborations between biologists and theorists with a clear separation of experimental and data analysis tasks. In this talk, I will argue that as we are moving mathematics closer and closer to the experiments, a separation of tasks becomes less and less possible, i.e. that all of us need to understand more and more of both sides to make interdisciplinary projects succeed. More specifically, I will outline how my own research has evolved from developing methods for the analysis of given data to methods that guide the data acquisition, and finally on to algorithms that analyze the data in real time and take autonomous decisions on how to continue the experiment. On the mathematical side, the talk will be focused on parameter inference, experimental design and model-predictive control for stochastic reaction networks described by continuous-time Markov chains. On the biological side, I will talk about light-inducible gene expression circuits in yeast and E. Coli and flow cytometry as well as single-cell microscopy data.