Shuxian C.

Machine Learning Engineer

Shuxian C. possesses a robust background in health economics and data science, with a focus on economic modeling and analysis. Shuxian C. has gained diverse experience through various roles, including a graduate internship at Amgen, where economic modeling for heart failure therapies was conducted, and as a Research Data Scientist at Meta, specializing in ads ranking and anomaly detection. Additional positions include a Data Scientist intern at Facebook, a Health Economics and Outcomes Research Fellow at Washington Research Foundation, and a Quantitative Sciences Intern at Flatiron Health, where dataset representativeness was assessed. Currently serving as a Machine Learning Engineer at Meta, Shuxian C. holds a Ph.D. in Health Economics and Outcomes Research from the University of Washington, alongside advanced degrees from Duke University and The University of Manchester, complemented by a Bachelor's degree in Economics from 南京大学.

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Seattle, United States

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