Risi Kondor is an Associate Professor at The University of Chicago in Computer Science, Statistics, and the Computational and Applied Mathematics Initiative. Risi obtained his B.A. in Mathematics and Theoretical Physics from Cambridge, followed by an M.Sc. in Machine Learning from Carnegie Mellon and a PhD from Columbia, and postdoc positions at the Gatsby Unit (UCL) and Caltech. He has held visiting positions at Amazon Web Services, and most recently at the Flatiron Institute. Risi is interested in the confluence of machine learning, harmonic analysis and large scale computation. In particular, his group at the University of Chicago is pursuing a range of projects using modern neural network architectures for modeling physical systems and scientific discovery.