Rowland Fellow, Rowland Institute, Harvard University
Our laboratory aims to reverse engineer the neural circuits that enable motor control and learning. Specifically, we use mice as a model system and teach them to perform skilled motor behaviors. We then use machine learning and modern large-scale recording techniques to relate brain function to behavior. We hope that by understanding the neural basis of adaptive motor control we can open new avenues in therapeutic research for neurological disease and provide fundamental insights into brain function.