Thomas Rochais is a Machine Learning Research Engineer at Product Genius since December 2021, with prior experience as an intern at Gamalon. Thomas has a strong background in research, having served as a Graduate Research Assistant at the University of Pennsylvania, where the thesis focused on geometric approaches to quantum fields and strings at strong coupling. Additionally, Thomas worked as a Teaching Assistant, leading lab groups in classical mechanics and electromagnetism, and as an Undergraduate Research Assistant at the University of Wyoming, studying black holes and star clusters. Thomas holds a Ph.D. in High Energy Physics Theory from the University of Pennsylvania and dual Bachelor's degrees in Astronomy and Astrophysics, Mathematics, and Physics from the University of Wyoming.
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