Tyler Kastner is a dedicated researcher and professional in the field of Computer Science with a robust academic background, currently pursuing a Doctor of Philosophy (PhD) at the University of Toronto. Prior experience includes a position as a Research Assistant at the Vector Institute since September 2022 and a role as a Quantitative Finance Summer Associate at Morgan Stanley in summer 2024. Tyler has also held multiple engineering positions at Mako Financial Technologies from August 2020 to May 2022, including Senior Software Engineer, Software Engineer, and Customer Success Engineer. In addition, Tyler's research at McGill University involved studying state similarity in reinforcement learning, supported by NSERC funding. Additionally, Tyler served as an Undergraduate Student Assistant, acting as a teaching assistant for various advanced courses in the Math and Computer Science departments at McGill University. Academic credentials include a Master of Science and a Bachelor of Science with Joint Honours in Mathematics and Computer Science from McGill University, as well as a DEC in Science from John Abbott College.
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