I’m interested in understanding information processing in the brain based on dynamical sensory input, and how it generates behavior to suitably react to its changing environment. I am using dynamical Bayesian inference, formally referred to as nonlinear filtering, as an overarching framework to address questions ranging from perception to spatial navigation. This theory provides a normative perspective, and I am interested in finding out how much of this normative framework is actually implemented in the brain and used in everyday behavior.

Before joining the Drugowitsch lab at Harvard Medical School as a postdoc in 2019, I did my PhD with Jean-Pascal Pfister at the University of Zurich, focussing on the mathematical theory of nonlinear filtering and applying these to problems arising in neuroscience.