Xiongjie Yu is an accomplished quantitative researcher currently employed at Tower Research Capital since November 2020. Prior experience includes a role as a quantitative researcher at Akuna Capital from January 2018 to July 2020, where notable projects included developing a profitable cross-instrument crypto trading signal and creating a high-frequency D1 machine learning trading strategy on CME. Additionally, Xiongjie served as a quantitative developer intern at Akuna Capital during the summer of 2016. Educational credentials include a Doctor of Philosophy (Ph.D.) in Condensed Matter and Materials Physics from the University of Illinois Urbana-Champaign and a Bachelor of Science (BS) in Physics from Peking University.
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