Kyle Beiter is a Quantitative Researcher at Optiver since August 2022, focusing on systematic trading. Prior experience includes serving as a Research Assistant at Syracuse University College of Engineering and Computer Science, where research centered on machine learning, privacy, and fairness using Python, and at SUNY ESF Atmospheric Chemistry, conducting stochastic kinetic simulations related to gas phase reactions. Additionally, Kyle contributed to research on polymer flows at RIT College of Science. Kyle holds a Bachelor of Science in Mathematics from Syracuse University and a Bachelor of Science in Environmental Science, specializing in Atmospheric Chemistry, from the State University of New York College of Environmental Science and Forestry.
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