Jiebiao Wang, PhD

The primary goal of my research is to develop statistical methods and computational tools to solve real biomedical problems. I am particularly interested in statistical methods for genomics data with cell-type heterogeneity, clustered structure, and missing values. My research spans cell type deconvolution, single-cell RNA sequencing data, mixed-effects models, machine learning methods, missing data, and proteomics data.

I have collaboration experience in areas such as psychiatry, asthma, and breast cancer. I am familiar with data analysis pipelines for whole genome/exome sequencing, bulk/single-cell RNA sequencing, DNA methylation, proteomics, clinical measurements, etc.

2017 | University of Chicago, Chicago, IL | PhD, Biostatstics

2012 | Renmin University of China, Beijing, China | Master, Statstics

2010 | Renmin University of China, Beijing, China | Bachelor, Statstics

* Joint first authors

1. Wang, J., Gamazon, ER., Pierce, BL., Stranger BE., Im, HK., Gibbons, RD., Cox, NJ., Nicolae, DL., Chen, LS. (2016). Imputing gene expression in uncollected tissues within and beyond GTEx. American Journal of Human Genetics, 98(4), 697-708.
2. Wang, J.*, Liu, Q.*, Pierce, B. L., Huo, D., Olopade, O. I., Ahsan, H., Chen, L. S. (2018). A meta-analysis approach with filtering for identifying gene-level gene-environment interactions. Genetic Epidemiology, 42(5): 434-446.
3. Wang, J., Wang, P., Hedeker, D., Chen, L. S. (2019). Using multivariate mixed-effects selection models for analyzing batch-processed proteomics data with non-ignorable missingness. Biostatistics, 20(4), 648–665.
4. Wang, J., Devlin, B., Roeder, K. (2020). Using multiple measurements of tissue to estimate subject- and cell-type-specific gene expression. Bioinformatics, 36(3), 782-788.
5. Satterstrom, F. K.*, Kosmicki, J. A.*, Wang, J.*, ..., Devlin, B., Sanders, S. J., Roeder, K., Buxbaum, J. D., Daly, M. J. (2020). Large-scale exome sequencing study implicates both developmental and functional changes in the neurobiology of autism. Cell, 180(3), 568-584.

Google Scholar Profile