Contact Information
725 S. Wright St.
M/C 374
Champaign, IL 61820
Biography
Director of Computational Genomics, Carl R. Woese Institute for Genomic Biology, 2022 – present
Associate Professor, Department of Statistics, University of Illinois at Urbana-Champaign, 2020 – present
Assistant Professor, Department of Statistics, University of Illinois at Urbana-Champaign, 2014 – 2020
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
Associate Professor, Bioengineering
Affiliate, Carl R. Woese Institute for Genomic Biology
Director of Computational Genomics, Carl R. Woese Institute for Genomic Biology
External Links
Recent Publications
Barbehenn, A., & Zhao, S. D. (Accepted/In press). Nonparametric empirical Bayes biomarker imputation and estimation. Statistics in Medicine, 43(19), 3742-3758. https://doi.org/10.1002/sim.10150
Mayers, J. R., Varon, J., Zhou, R. R., Daniel-Ivad, M., Beaulieu, C., Bhosle, A., Glasser, N. R., Lichtenauer, F. M., Ng, J., Vera, M. P., Huttenhower, C., Perrella, M. A., Clish, C. B., Zhao, S. D., Baron, R. M., & Balskus, E. P. (2024). A metabolomics pipeline highlights microbial metabolism in bloodstream infections. Cell, 187(15), 4095-4112.e21. https://doi.org/10.1016/j.cell.2024.05.035
Rong, Y., Zhao, S. D., Zheng, X., & Li, Y. (2024). Kernel Cox partially linear regression: Building predictive models for cancer patients' survival. Statistics in Medicine, 43(1), 1-15. https://doi.org/10.1002/sim.9938
Zhou, R. R., Zucker, D. M., & Zhao, S. D. (2024). Power of testing for exposure effects under incomplete mediation. International Journal of Biostatistics, 20(1), 217-228. https://doi.org/10.1515/ijb-2022-0106
Blatti, C., de la Fuente, J., Gao, H., Marín-Goñi, I., Chen, Z., Zhao, S. D., Tan, W., Weinshilboum, R., Kalari, K. R., Wang, L., & Hernaez, M. (2023). Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer. Cancer Research, 83(8), 1361-1380. https://doi.org/10.1158/0008-5472.CAN-22-1910
