What does it mean to understand a systems or explain something? How do our analytical choices shape the kind of explanations and insights we can provide? These are some of the questions, that I found interesting and that I have explored in my research on the philosophy of complex systems and neuroscience.
I have worked on the philosophical foundations of studying information-theoretic properties in intelligent complex systems such as the brain. In this line of work, we examined how our analytical approaches relate to broader research strategies in neuroscience, and how they connect to the study of higher-order structure and emergent properties in complex systems.
Together with my collaborators Carlos Coronel-Oliveros, Marilyn Gatica, and Ruben Herzog, we proposed a framework that integrates computational methods based on higher-order interactions, computational modelling, and normative models. The goal of this framework is to support more personalised and diversity-sensitive approaches in medicine.