I am a scientist and engineer in the fields of statistical machine learning and artificial intelligence. I am most interested in research that combines multiple disciplines and views of machine learning and its applications. I shape my efforts around three conceptual pillars: Probabilistic Foundations of Learning and Intelligence, Addressing Global Challenges, and Transformation. I work towards developing methods focussed on probabilistic reasoning that lead to systems for agent-based decision-making. I work towards the application of machine learning to global challenges in healthcare and environment, and towards social Transformation that supports greater diversity, responsibility, and freedom.