Lucas Ou is a Boston University alumni with a major in Mathematics and in Computer Science.
His research lies in the field of Computational Learning Theory, in exploring differentially
private learning. He has been working on studying the nature of the
relationship between agnostic, efficient PAC learning and agnostic, efficient, online learning. He
is interested in both the mathematical and theoretical foundations of these types of problems,
as well as their practical implications.
