Zhiyuan Zhuang is a research professional and quantitative analyst with extensive experience in statistical methodologies and portfolio optimization. Currently a Research Assistant at Columbia University Graduate School of Arts and Sciences since July 2017, Zhuang conducted significant research on high-frequency data with Professor Pawel Polak and participated in projects optimizing portfolio selection. At POFFIT LLC, Zhuang analyzes energy option prices, developing predictive models for asset pricing that have demonstrated high accuracy. Previous roles include serving as a Teaching Assistant at Columbia University, a Financial Analyst at Lanchid LLC, and a Quantitative Analyst at Industrial Consumer Finance Company. Zhuang holds a Master's Degree in Statistics from Columbia University and a Bachelor's Degree in Statistics from the University of Science and Technology of China.
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