Child development, artificial intelligence (AI), and cognitive neuroscience researchers share a common interest in building systems that learn to solve everyday problems. However, these disciplines are traditionally separated and rarely capitalize on their complementary expertise.

My work reflects a unique integration of theory and methods drawn from these fields, where I use state-of-the-art concepts and technologies to discover the developmental interplay between brain and behavior.


I combine interdisciplinary perspectives (development, behavior, neuroscience, motor control, computer science), recording methods (fMRI, EEG, EMG, tACS, ECoG, single-unit recordings, eye tracking, motion tracking, virtual reality, and video), analytic techniques (machine learning, robotics), populations (infants to elderly adults, patients), and tasks (manual and locomotor).