Jonathan Wang is a quantitative researcher at DRW, affiliated with the firm since June 2022. Wang previously served as an undergraduate student instructor for Discrete Math & Probability Theory at UC Berkeley, guiding students and creating resources. Past experience includes internships at Robinhood, DRW, Palantir Technologies, and various roles at Blockchain at Berkeley, where skills in software engineering, product management, and backend development were honed. Education includes a Bachelor's degree in Computer Science from the University of California, Berkeley. A strong foundation in programming, analysis, and research has been developed through significant academic and practical experience.
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