Jon is a physicist whose research interests focus on data science and machine learning. Jon received his Ph.D. from the University of Washington and was a postdoctoral fellow in theoretical particle physics at UC Berkeley. His academic work was focused on building computational tools to analyze, simulate, and calculate properties of data from the Large Hadron Collider (LHC). He was an LHC Theory Initiative Fellow during graduate school and as a postdoc. After academia, Jon worked as a data scientist at Leap Motion.