Contact Information
725 S. Wright St.
M/C 374
Champaign, IL 61820
Biography
Assistant Professor, Department of Statistics, University of Illinois at Urbana-Champaign, 2014 – present
Faculty member, Carl R. Woese Institute for Genomic Biology, Gene Networks in Neural Development and Plasticity, 2014 – present
Faculty affiliate, Carl R. Woese Institute for Genomic Biology, Computing Genomes for Reproductive Health, 2014 – present
Postdoctoral researcher, Department of Biostatistics and Epidemiology & Statistics Department, University of Pennsylvania, 2012 – 2014
Research Interests
Statistical genomics
High-dimensional statistics
Survival analysis
Education
PhD, Biostatistics, Harvard University, 2012
A.M., Statistics, Harvard University, 2007
A.B., Chemistry and Physics, Harvard University, 2007
Additional Campus Affiliations
Associate Professor, Biomedical and Translational Sciences
Director, Computational Genomics, Carl R. Woese Institute for Genomic Biology
Affiliate, Carl R. Woese Institute for Genomic Biology
External Links
Recent Publications
Xin, H., & Zhao, S. D. (Accepted/In press). A compound decision approach to covariance matrix estimation. Biometrics. https://doi.org/10.1111/biom.13686
Yin, W., Zhao, S. D., & Liang, F. (2022). Bayesian penalized Buckley-James method for high dimensional bivariate censored regression models. Lifetime Data Analysis, 28(2), 282-318. https://doi.org/10.1007/s10985-022-09549-5
Zhou, R. R., Zhao, S. D., & Parast, L. (2022). Estimation of the proportion of treatment effect explained by a high-dimensional surrogate. Statistics in Medicine, 41(12), 2227-2246. https://doi.org/10.1002/sim.9352
Zhu, H., Zhao, S. D., Ray, A., Zhang, Y., & Li, X. (2022). A comprehensive temporal patterning gene network in Drosophila medulla neuroblasts revealed by single-cell RNA sequencing. Nature communications, 13(1), [1247]. https://doi.org/10.1038/s41467-022-28915-3
Taneja, I., Damhorst, G. L., Lopez-Espina, C., Zhao, S. D., Zhu, R., Khan, S., White, K., Kumar, J., Vincent, A., Yeh, L., Majdizadeh, S., Weir, W., Isbell, S., Skinner, J., Devanand, M., Azharuddin, S., Meenakshisundaram, R., Upadhyay, R., Syed, A., ... Bashir, R. (2021). Diagnostic and prognostic capabilities of a biomarker and EMR-based machine learning algorithm for sepsis. Clinical and Translational Science, 14(4), 1578-1589. https://doi.org/10.1111/cts.13030
