Dr. Jianhua Hu's research focus on methodology development to address unconventional data analysis challenges in biomedical studies to improve disease diagnosis, prognosis, and treatment. This includes analyzing high-dimensional genomics/proteomics, imaging, and longitudinal data, modeling disease heterogeneity, and developing innovative adaptive designs to achieve personalized treatments. Dr. Hu's research substantially involves variable selection, classification, dimension reduction, nonparametric estimation, and robust inference.
PhD, 2003, University of North Carolina at Chapel Hill
MS, 2000, National University of Singapore
BS, 1998, East China Normal University
Professor, Department of Medicine
Director of Cancer Biostatistics Program, Herbert Irving Comprehensive Cancer Center
Areas of Expertise
Bayesian Methods, Big Data, Bioinformatics, Clinical Trials, Data Science, Imaging Data, Longitudinal Studies, Nonparametric Methods, Predictive Modeling/Machine Learning
Gopalakrishnan, V, Spencer, C, ...,Hu, J, ...,Wargo J. 2018. Gut microbiota are associated with differential responses to PD-1 blockade in melanoma patients. Science. Vol. 359 (6371), 97-103.
Jung, Y., Zhang, H., Hu, J. (2018). Transformed low-rank ANOVA models for high-dimensional variable selection. In press for Statistical Methods in Medical Research.
Roh, W., Chen, P., ...,Hu, J.,..., Cooper, Z.A., Wargo, J.A. (2017), Integrated molecular analysis of tumor biopsies on sequential CTLA-4 and PD-1 blockade reveals markers of response and resistance. Science Translational Medicine, Vol. 9(379), eaah3560.
An, X., Hu,J.*, Do,K.A.(2016), SIFORM: shared informative factor models for integration of multiplatform bioinformatic data. Bioinformatics, Vol. 32, 3279-3290.
Hu, J.*, Zhang, L., Wang, H.J. (2016), Sequential model selection based segmentation to detect DNA copy number variation. Biometrics, Vol. 72, 815-826.
Hu, J., Zhu, H., Hu, F. (2015), Covariate-adjusted response-adaptive randomization:optimization and ethics. Journal of the American Statistical Association, Vol. 110 (509), 357-367.
Jung, Y., Hu, J.* (2015), A k-fold averaging cross-validation procedure. Journal of Nonparametric Statistics, Vol. 27 (2), 167-179.
Jung, Y., Huang, J., Hu, J.* (2014), Biomarker detection in association studies: modeling SNPs simultaneously via logistic ANOVA. Journal of the American Statistical Association, Vol. 109 (508), 1355-1367.
Hu, J., He, X. (2012), Searching for Alternative Splicing with a Joint Model on Probe Measurability and Expression Intensities. Journal of the American Statistical Association, Vol. 107 (499), 935-945. Hu, J.*, He, X. (2012), Searching for Alternative Splicing with a Joint Model on Probe Measurability and Expression Intensities. Journal of the American Statistical Association, Vol. 107 (499), 935-945.
Feng, X., He, X., Hu, J.* (2011), Wild bootstrap for quantile regression. Biometrika, Vol. 98 (4), 995-999.