Kyle Boone

Kyle Boone is a skilled professional with extensive experience in machine learning and software engineering. Notable positions include a Senior Software Engineer at Google, specializing in Cloud AI and Dialogflow, and a Postdoctoral Fellow at the University of Washington, where machine learning algorithms were developed for astrophysics experiments. Previous roles include a Student Researcher at CERN/University of British Columbia, focused on searching for supersymmetry at the LHC, and a Junior Software Developer at Demonware, creating networking tools for video games. Kyle also contributed to detector development at TRIUMF as a Detector Development Student and advanced through the academic ranks as a Graduate Student Researcher at UC Berkeley under the guidance of Saul Perlmutter, ultimately earning a PhD in Physics from the institution. Educational background includes a Bachelor's degree in Engineering Physics from The University of British Columbia.