Dr. Anru Zhang

Associate Professor

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Biography

Anru Zhang is an Associate Professor in the Biostatistics & Bioinformatics Division of Translational Biomedical Engineering at Duke University. Dr. Zhang earned his Ph.D. from the University of Pennsylvania in 2015. His research primarily focuses on statistical methodologies and their applications in high-dimensional data analysis, particularly related to the medical and biological fields. He has made significant contributions to statistical learning, including tensor-based statistical modeling and machine learning techniques for analyzing complex datasets such as electronic health records and microbiome studies. He has published extensively in leading academic journals, emphasizing the importance of statistical inference in biomedical research. Dr. Zhang is an active member of various statistical societies and has received several prestigious awards, including the Emerging Leader Award from the Committee of Presidents of Statistical Societies in 2024, and the ICSA Outstanding Young Researcher Award in 2021. He teaches courses related to high-dimensional statistics, machine learning, and advanced topics in Computer Science at Duke, fostering a learning environment that blends theoretical concepts with practical applications. His ongoing research endeavors aim to enhance the effectiveness of statistical methods in understanding complex biological processes and improving healthcare outcomes.

Research Interests

Awards

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Emerging Leader Award

2024-01-01
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Tweedie Award

2022-01-01
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Gottfried E. Noether Junior Award

2021-01-01
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ICSA Outstanding Young Researcher Award

2021-01-01
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Bernoulli Society New Researcher Award

2021-01-01
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NSF CAREER Award

2020-01-01

Courses

STA 915: High-Dimensional Statistics Machine Learning STA 693: Research Independent Study COMPSCI 762: High-Dimensional Statistics Machine Learning COMPSCI 590: Advanced Topics Computer Science COMPSCI 394: Research Independent Study COMPSCI 393: Research Independent Study BIOSTAT 915: High-Dimensional Statistics Machine Learning

Requirements for Duke University

Master Program
Requirements
GPA Requirement
Required:3.2
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:24
Speaking
Required:26
Total
Required:90
IELTS
Overall
Required:7
Prerequisites
Multivariable Calculus Introduction to Physics (mechanics) Introduction to Chemistry
Application Checklist
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  • Three Letters of Recommendation
  • Resume/CV
  • Application Fee ($95)
  • Video Introduction
Specialization Notes

Department of Biomedical Engineering (MS program)