Reed Watson is a quantitative researcher at Tanius Technology, LLC, where research focuses on market trends and the development of efficient trading strategies. Previous experience includes a role as a graduate student at the University of California, Berkeley, conducting hardware testing, simulations, and data analysis for the LUX-ZEPLIN dark matter experiment and the Xenon Breakdown Apparatus. As an undergraduate researcher at Texas A&M University, Reed worked on tuning machine learning models for the SuperCDMS detector's limit-setting analysis. Earlier internships involved IT support roles at ETSZONE and NABORS CORPORATE SERVICES, INC., alongside developing a workforce training application. Reed holds a PhD in Physics from the University of California, Berkeley, and a BS in Physics from Texas A&M University.
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