Matt Kusner is an Associate Professor in Machine Learning at University College London. He received his PhD in Computer Science from Washington University in St. Louis in 2016 under the supervision of Kilian Weinberger. His work was given the Turner Dissertation Award for best Computer Science & Engineering doctoral dissertation. He was part of the first cohort of research fellows at the Alan Turing Institute in London, UK's National Institute for Data Science and Artificial Intelligence. He has given talks for the Federal Reserve Banks of Cleveland and Philadelphia, the Cambridge Centre for Mathematical Sciences, and the Royal Society. His work has appeared in the Guardian, Forbes, and the Harvard Business Review. Matt Kusner's research focuses on aligned AI, particularly on methods that preserve privacy, measure fairness, regulate model use, improve our understanding of recent models & optimizers, and provide guarantees for distribution shifts. Before joining UCL, he was an Associate Professor at the University of Oxford and a Tutorial Fellow at Jesus College.