Yonatan Kahn is a theoretical physicist whose research is focused on dark matter and its detection strategies, as well as the theory of machine learning from a high-energy physics perspective. Currently an assistant professor at the University of Illinois at Urbana-Champaign (UIUC), he previously held postdoctoral positions at the Kavli Institute for Cosmological Physics (KICP) at the University of Chicago and Princeton University. Dr. Kahn received his Ph.D. in 2015 from MIT, under the supervision of Jesse Thaler. He holds degrees in music, physics, and mathematics from Northwestern University (B.A., B.Mus 2009) and completed Part III of the Mathematical Tripos with Distinction at the University of Cambridge in 2010 supported by a Churchill Scholarship. Dr. Kahn was an NSF Graduate Fellow and recipient of the Andrew M. Lockett Memorial Fund Award for Graduate Research at MIT. In 2016 he received the American Physical Society’s J.J. and Noriko Sakurai Dissertation Award in Theoretical Particle Physics.