Paulius Rauba works in the Machine Learning and Artificial Intelligence group. His research focuses on developing new methods at the intersection of deep learning and causal inference with a focus on medical applications. Previously, Paulius has worked at the intersection of business, academia, and international organizations, building machine learning systems, evaluating proposals on the implementation of AI, and advising on how to best build robust AI systems.