Dr. Ruoqing Zhu

Biography

Ruoqing Zhu completed his Ph.D. in Biostatistics from the University of North Carolina at Chapel Hill in 2013. He worked as a Postdoctoral Associate in the Department of Biostatistics at Yale University from 2013 to 2015. In 2015, he joined the Department of Statistics at the University of Illinois at Urbana-Champaign (UIUC). He holds primary appointments and is an inaugural member of the 'Engineering-Based' Faculty Fellow at the National Center for Supercomputing Applications. Zhu is also affiliated with the Center for Genomic Diagnostics and the Personalized Nutrition Initiative Advisory Board. His research interests lie in developing statistical methodologies and computational algorithms particularly for personalized medicine and reinforcement learning. He addresses challenges associated with small sample sizes, high dimensionality, and complex data structures. His recent work focuses on uncertainty quantification, distributional shifts, and causal inference, with the aim of providing reliable solutions to real-world applications. Additionally, Zhu has a strong interest in classical statistical learning and machine learning methods, including random forests and survival analysis, with applications in bioinformatics and nutrition studies.

Research Interests

Courses