Cluster:
(Re)Conceptualizing Function and Goal-Directedness
Project:
Mistakes in living systems: a new conceptual framework
Institution:
François is a post-doctoral researcher initially trained as a computational neuroscientist specialised in behavioural modelling. His PhD (2016-2019) was focused on a form of metalearning, in other words dynamically tuning parameters of a reinforcement learning model to simulate long term changes of rat behaviour in a bandit task. He has also developed a novel statistical Bayesian method of quantifying connection rates between neurons and a model of foraging behaviour during two postdoctoral positions. His current role as member of this team is to develop models of haemostasis as a case study of mistake making in organisms.