Contact Information
725 S. Wright St.
Champaign, IL 61820
Biography
2017 - Course Associate Director, Carle Illinois College of Medicine, University of Illinois Urbana-Champaign, Champaign, IL
2016 - Affiliate, Carl R. Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, Champaign, IL
2015 - Assistant Professor, Department of Statistics, University of Illinois Urbana-Champaign, Champaign, IL
2013 - 2015 Postdoctoral Associate, Biostatistics, Yale University, New Haven, CT
Research Interests
Random Forests and Trees
Machine Learning
Personalized Medicine
Survival Analysis
Sufficient Dimension Reduction
High-dimensional Data
Biomedical Applications
Education
PhD, Biostatistics, University of North Carolina at Chapel Hill, 2013
MA., Statistics, Bowling Green State University, 2008
B.S., Mathematics, Nanjing University, 2006
B.S., Financial Engineering, Nanjing University, 2005
Additional Campus Affiliations
Affiliate, Carl R. Woese Institute for Genomic Biology
Assistant Professor, National Center for Supercomputing Applications (NCSA)
Assistant Professor, Biomedical and Translational Sciences
External Links
Recent Publications
Feng, Z., Lin, L., Zhu, R., & Zhu, L. (2020). Nonparametric variable selection and its application to additive models. Annals of the Institute of Statistical Mathematics, 72(3), 827-854. https://doi.org/10.1007/s10463-019-00711-9
Miao, R., Badger, T. C., Groesch, K., Diaz-Sylvester, P. L., Wilson, T., Ghareeb, A., Martin, J. A., Cregger, M., Welge, M., Bushell, C., Auvil, L., Zhu, R., Brard, L., & Braundmeier-Fleming, A. (2020). Assessment of peritoneal microbial features and tumor marker levels as potential diagnostic tools for ovarian cancer. PloS one, 15(1), [e0227707]. https://doi.org/10.1371/journal.pone.0227707
Shinn, L. M., Li, Y., Mansharamani, A., Auvil, L. S., Welge, M. E., Bushell, C., Khan, N. A., Charron, C. S., Novotny, J. A., Baer, D. J., Zhu, R., & Holscher, H. D. (2020). Fecal Bacteria as Biomarkers for Predicting Food Intake in Healthy Adults. The Journal of nutrition. https://doi.org/10.1093/jn/nxaa285
Zhao Ruoqing, Y. Q., Zhu, R., Chen, G., & Zheng, Y. (2020). Constructing dynamic treatment regimes with shared parameters for censored data. Statistics in Medicine, 39(9), 1250-1263. https://doi.org/10.1002/sim.8473
Mi, X., Zou, F., & Zhu, R. (2019). Bagging and deep learning in optimal individualized treatment rules. Biometrics, 75(2), 674-684. https://doi.org/10.1111/biom.12990