Mikhail Gaerlan is a Quantitative Researcher at AlphaTrAI, specializing in developing mathematical and machine learning models to manage trading portfolio risks. With a Master of Science in Applied Mathematics from the University of California, Davis, Mikhail also has a background in Physics and Mathematics. From being an Associate in Math at UC Davis to working as a Research Intern at Jefferson Lab, Mikhail has a diverse range of experience in research, teaching, and tutoring in the field of mathematics and physics.
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