Lan Luo

Lan's research enables businesses and researchers to glean insights from unstructured data (like images and text) using causal inference. As an applied methodologist, he develops and leverages cutting-edge methods at the intersection of interpretable machine learning, applied econometrics, and probabilistic machine learning (e.g., deep generative modeling) as they become necessary to addressing marketing problems. Lan has worked on research in substantive areas pertaining to data-driven design, user-generated content, digital advertising, and social issues such as discrimination and financial decision-making.