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Ruoqing Zhu is an Associate Professor in the Department of Statistics at the University of Illinois Urbana-Champaign, where he also serves as the Director of the Ph.D. Program in Statistics. His research interests encompass Personalized Medicine, Random Forests, Reinforcement Learning, Machine Learning, Survival Analysis, Sufficient Dimension Reduction, High-dimensional Data, and Biomedical Applications. Zhu has an extensive academic background, including a Ph.D. in Biostatistics from the University of North Carolina at Chapel Hill, and a Master’s degree in Statistics from Bowling Green State University, along with dual Bachelor’s degrees in Mathematics and Financial Engineering from Nanjing University. Before joining the University of Illinois, he was a Postdoctoral Associate at Yale University in Biostatistics. His work contributes significantly to the fields of statistical methodology and its applications in biomedicine, advancing understanding in complex data analysis. Zhu's professional activities include various external collaborations, contributing to the development of machine-learning models aimed at predicting cognitive performance, highlighting his focus on relevant statistical applications in current research.
Department of Statistics, University of Illinois Urbana-Champaign • Champaign, IL
Teaching and research in statistical methodology with a focus on biostatistics.
Yale University • New Haven, CT
Conducted research in Biostatistics.
Carl R. Woese Institute Genomic Biology, University of Illinois Urbana-Champaign • Champaign, IL
Collaboration and research in genomic biology.
Carle Illinois College of Medicine, University of Illinois Urbana-Champaign • Champaign, IL
Oversee course structure and content delivery.
GRE is optional for admission to all graduate programs in Statistics. Full status admission requires higher language scores than limited status.