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Summary

My research has focused on the development of machine learning methods for big and high dimensional data and their applications in healthcare and business. I have established a research agenda at the intersection of Statistics, Machine Learning, and Business. Throughout my work, I employ both model-oriented and data-oriented thinking processes to investigate the way in which statistics can help our understanding of the data.

Education

Ph.D. Statistics, Texas A&M University, College Station, TX (Advisor: Faming Liang)

B.S. Mathematics, Fudan University, Shanghai, China 

Research Interest

• Bayesian analysis and computation

• Big and high dimensional data 

• Nonparametric model, Empirical likelihood

• Text analytics

• Health analytics

• Biostatistics, Statistical genetics, Cancer genomics

Prior Working Experience

Postdoc, Fred Hutchinson Cancer Research Center, Seattle, WA (Advisor: Charles Kooperberg and James Dai)

Google Scholar Link: https://scholar.google.com/citations?user=_pkOKCcAAAAJ&hl=en