Dr. Ji Zhu

Professor

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Biography

Ji Zhu is the Susan Murphy Collegiate Professor and Chair of the Department of Statistics at the University of Michigan, Ann Arbor. He specializes in statistical machine learning, network analysis, and statistical modeling in health science. With his doctorate in Statistics from Stanford University, his research has significantly impacted the field of statistical learning. Zhu has received several prestigious accolades, including the IMS Medallion Lecturer in 2027 and the Rackham Distinguished Graduate Mentor Award in 2025. Notably, he was the Grand Prize Winner of the COVID-19 Data Challenge by the American Heart Association in 2020. He is a fellow of several esteemed organizations, reflecting his contributions to the statistical sciences. A recognized figure in statistical education, Zhu has taught various courses, including Applied Regression Analysis and Statistical Machine Learning. He has also served in significant editorial roles in prominent journals, shaping the landscape of statistical research. His collaborations extend to institutes focusing on E-Health and Artificial Intelligence, highlighting his commitment to advancing data science applications.

Research Interests

Awards

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IMS Medallion Lecturer

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Rackham Distinguished Graduate Mentor Award

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Pao-Lu Hsu Award

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Grand Prize Winner

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Fellow

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Web Science Highly Cited Researcher

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Fellow

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Elected Member

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CAREER Award

Requirements for University of Michigan

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Total
Required:84
GRE General
Verbal
Required:155
Verbal Percentile
Required:50
Quantitative
Required:168
Quantitative Percentile
Required:50
Analytical Writing
Required:3.6
Writing Percentile
Required:50
Prerequisites
Bachelor degree in engineering, physics, or mathematics Calculus Physics
Application Checklist
  • Rackham Graduate School Application
  • Official Transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Personal Statement
  • CV/Resume
Specialization Notes

Department of Electrical Engineering and Computer Science