I am interested in the computational principles that underlie sensorimotor learning and memory in the brain. I conduct theory-driven behavioural experiments to investigate how the humans motor system learns to control a plant with dynamics 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.

A list of my publications can be found at Google Scholar.

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