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Home » Award-winning data scientist She Yiyuan takes job in China after decades in US
China

Award-winning data scientist She Yiyuan takes job in China after decades in US

adminBy adminJuly 10, 2025No Comments2 Mins Read
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Award-winning data scientist She Yiyuan has left the United States to take up a full-time position at Westlake University in eastern China’s Zhejiang province.

She, who taught at Florida State University for almost two decades, will conduct research at his new institution as a chair professor at the school of science and the Institute for Theoretical Sciences, according to a July 1 social media post by the Chinese university.

She has won the Career Award, the most prestigious award from the US National Science Foundation to support early career scholars. He is a fellow of some of the world’s most prominent communities of statisticians, including the American Statistical Association and the Institute of Mathematical Statistics. He is also an elected member of the International Statistical Institute.

The statistician’s move is set to boost China’s position in emerging hi-tech sectors, such as artificial intelligence (AI) and medical sciences, amid fierce competition with the West.

Statistics, as the foundation of data science, is “an indispensable supporting discipline in fields such as machine learning and artificial intelligence”, according to Westlake University. The discipline underpins a wide range of fields, including the natural sciences, engineering, technology and social sciences.

According to the university’s website, She’s research focuses on high-dimensional statistics, machine learning, optimisation techniques, big data analysis and robust statistics, among other areas. His research takes a cross-disciplinary approach, integrating the theories, methods, and applications of statistics, mathematics and computer science.

Westlake University said that She’s research not only provided new methods for machine learning to discover patterns in complex data, but also offered effective tools and innovative approaches for data analysis in disciplines such as biomedicine and economics.



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