My research interests lie in the intersection of statistical learning theory, optimization, and control theory.
I study problems in the intersection of machine learning, optimization, and control theory. My
recent work focuses on both learning from temporally dependent data, and controlling distribution
shift in imitation learning, with specific emphasis on applications in robotics.