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The research group is presently focused on developing methodologies and optimality theory in the fields of statistical machine learning, large-scale inference, and high-dimensional statistics. Additionally, the group is actively involved in applying these methods to areas such as genomics and financial econometrics.
| Postdoc: | Arnab Auddy |
| Ph.D. Student: | Haoshu Xu, Abhinav Chakraborty, Dongwoo Kim, Junu Lee |
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Dept of Data Sciences & Operations Marshall School of Business University of Southern California |
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Department of Mathematics MIT Currently at Morgan Stanley |
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Dept of Math & Institute of Natural Sciences Shanghai Jiao Tong University |
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Department of Biostatistics Brown University |
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Dept of Biostatistics & Bioinformatics Duke University |
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Department of Statistics University of California at Berkeley |
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Department of Statistics North Carolina State University |
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Dept of Statistics & Data Science Yale University |
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Department of Statistics Fudan School of Management Fudan University |
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Department of Statistics University of Illinois at Urbana-Champaign |
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Department of Statistics University of California at Davis |
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Department of Biostatistics & Bioinformatics Duke University |
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Department of Statistics University of Wisconsin at Madison |
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Department of Statistics National University of Singapore |
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School of Data Science Fudan University |
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Fred Hutchinson Cancer Research Center |
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Department of Statistics Rutgers University |
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Booth School of Business University of Chicago |
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School of Statistics East China Normal University |
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LinkIn |
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Department of Statistics Rutgers University |
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Department of Statistics Texas A&M University |
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Department of Biostatistics Harvard University |
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Institute of Statistics and Big Data Renmin University of China |
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Department of Business Intelligence Antai College of Economics and Management Shanghai Jiao Tong University |
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Department of EECS MIT |
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Dept of Industrial & Operations Engineering University of Michigan |