Denis Repin will join for several months as a research fellow. Denis will investigate how deep learning technology can help us in simulating large-scale, stochastic molecular interactions. Welcome, Denis!
Joint work with Andreea Beica and Jerome Feret, on tropical abstractions of biochemical reaction networks, will be presented at the 9th Workshop on Static Analysis in Systems Biology, to be held in Freiburg, 28th August 2018. The poster will be presented at CMSB in Brno.
Details for the visitors.
title: Modelling complex self-organising systems
abstract: Uncovering the mechanisms of complex systems such as a biological cell or a flock of birds seems closer than ever with today’s measurement technology, powerful computers and algorithms. However, the arising combination of combinatorial and analytical complexity often requires novel methods at all modelling stages, including model representation, model reduction or model validation. If there is something more complex than biology, that is software. Billions of lines of code are written and executed daily, including those controlling the cars we drive or medical treatments we may need. By following the analogy that “model = programme”, I will show how the modelling principles used in software verification and those used in classical mathematical modelling meet, using a few scenarios: signal transduction, gene regulation and social honeybees.