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Cameron Fen is a professional with extensive experience in research and application of machine learning and deep learning techniques, currently serving as the Head of Research at A.I. Capital Management since January 2019. In this role, Cameron Fen has overseen the development of algorithmic trading algorithms and has been a pioneer in employing deep reinforcement learning for trading strategies, receiving funding from notable organizations such as MassChallenge, Nvidia, and NexCubed. Concurrently, Cameron Fen is pursuing a Doctor of Philosophy degree in Economics at the University of Michigan, where deep learning is applied to enhance macroeconomic modeling, with several papers presented at conferences. Prior experience includes working as a Research Associate at the Federal Reserve Bank of Philadelphia, where Cameron Fen built a large-scale NLP platform and supervised a data annotation project. Academic qualifications include a Bachelor's degree in Mathematics and Computer Science from Brandeis University.