Zhanyu Wang is an experienced professional in the field of statistics and machine learning, having held positions such as Algorithm Engineer at Beijing Moshanghua Tech. Co., Ltd. and Ideal Technologies, where algorithm development and machine learning pipelines were key responsibilities. Academic contributions include a role as Graduate Teaching Assistant and Instructor at Purdue University, overseeing courses in probability and statistics, along with research focused on differential privacy and statistical inference. Internship experiences at Meta and Amazon encompassed software engineering and applied scientific research, with notable achievements including algorithm development for ads pacing and publishing work in COLING 2022. Zhanyu Wang holds a Doctor of Philosophy in Statistics from Purdue University and has advanced degrees in statistics from Peking University and the University of Chinese Academy of Sciences.
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