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Jason Levine is a Machine Learning Researcher at Output Inc. since June 2020 and has been a Computational Artist since January 2011. With experience as a Senior Creative Technologist at Local Projects and roles involving computational poetry at Fake Love and YesYesNo, Jason has contributed to innovative projects in interactive technology and audiovisual installations. Previous consulting work includes prototyping for Harmonix Music Systems on the game Fantasia: Music Evolved. Jason holds a Bachelor of Computer Science in Music Technology from Concordia University and a Statement of Accomplishment with Distinction in Heterogeneous Parallel Programming from Coursera. Education also includes attendance at the School for Poetic Computation.