I am interested in sensorimotor learning and memory in the human brain. The aim of my research is to elucidate the computational goals of motor adaptation through theory-driven behavioural experiments. I study how people learn to move in environments that switch in a discontinuous manner, such as when we grasp an object, put on ski boots or enter a swimming pool. To formalise this problem, I have developed a jump Markov model of motor adaptation, which provides a normative framework for understanding sensorimotor learning in environments that switch.

I also study the role of control points in the representations of object dynamics and the interaction between impedance control and motor adaptation. More generally, I am interested in leveraging insights and methods from machine learning in neuroscience.