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孙韬

职 称: 讲师


职 务: 无


电子邮箱: sun.tao@ruc.edu.cn

教育经历

2005.9-2010.7 学士,联合培养项目,动物医学院,中国农业大学
2007.9-2009.6 学士,联合培养项目,农业与生命科学院, 康奈尔大学
2009.9-2013.4 硕士,免疫、流行病与分子遗传学系,匹兹堡大学医学院
2013.9-2015.5 硕士,生物统计学系,哥伦比亚大学公共卫生学院
2015.9-2020.4 博士,生物统计学系,匹兹堡大学公共卫生学院

工作经历

2020.8-至今 讲师,统计学院,中国人民大学

基金项目

基于基因大数据的深度学习疾病预测模型,2019.1-2020.1,美国国家卫生研究院,主持
基于深度学习与复杂生存数据的疾病进展预测和管理,2021.1-2023.12,中国人民大学新教师启动金项目,主持

学术奖励

ENAR Distinguished Student Paper Award, 2019
ICSA Student Paper Award, 2019

开设课程

抽样技术 (2020秋),复杂数据分析 (2021春),生命表编制原理与分析技术 (2021春)

研究方向

• 统计理论:复杂生存数据模型,半参数统计模型,copula模型及其检验,高维变量选择
• 统计应用:基于健康医学大数据与深度学习的疾病诊断与预测
• 医学统计:流行病学调查,生物信息学

论文成果

统计方法论文
• Zhang, J., Siegle, G., Sun, T., D`Andrea, W., Krafty, R. (2021) Interpretable Principal Component Analysis for Multilevel Multivariate Functional Data. Biostatistics. Accepted.
• Sun, T., Ding. Y. (2021) Copula-based semiparametric regression model for bivariate data under general interval censoring. Biostatistics. 22(2), 315-330. DOI: 10.1093/biostatistics/kxz032. (codes available on GitHub)
• Sun, T., Wei, Y., Chen, W., Ding, Y. (2020) Genome-wide association study-based deep learning for survival prediction. Statistics in Medicine. Statistics in Medicine. 39(30), 4605-4620. (codes available on GitHub)
• Sun, T., Ding, Y. (2020) CopulaCenR: copula based regression models for bivariate censored data in R. The R Journal. 12(1), 266-282. (R package available on CRAN)
• Sun, T., Liu Y., Cook, R., Chen, W., Ding, Y. (2019) Copula-based score test for bivariate time-to-event data, with application to a genetic study of AMD progression. Lifetime Data Analysis. 25(3), 546-568.
• Wei, Y., Liu, Y., Sun, T., Chen, W., Ding, Y. (2019) Gene-based association analysis for bivariate time-to-event data through functional regression with copula models. Biometrics. 76(2), 619-629.

医学统计论文 (部分)
• Dai, H., Lan, P., Zhao, D., Abou-Daya, K., Liu, W., Chen, W., Friday, A., Williams, A., Sun, T., Chen, J., Chen, W., Mortin-Toth, S., Danska, J., Wiebe, C., Nickerson, P., Nicotra, M., Gingras, S., Kubagawa, H., Shlomchik, M., Oberbarnscheidt, M., Li, X., Lakkis, F. (2020) Paired immunoglobulin-like receptors mediate innate memory to non-self MHC molecules. Science. 368(6495), 1122-1127. (responsible for all bioinformatics analyses of high-dimensional single-cell RNA sequencing data)
• Sun, T., Sun, Z., Jiang Y., Ferguson. A., Pilewski, J., Kolls, J., Chen, W., Chen, K. (2019) Transcriptomic responses to Ivacaftor and prediction of Ivacaftor clinical responsiveness. American Journal of Respiratory Cell and Molecular Biology. 61(5), 643-652. (Editorial’s Highlight, clinically meaningful results based on bioinformatics data and machine learning)
• Yang, G.,* Sun, T.,* (co-first), Han, Y., Rosser, F., Forno, E., Chen, W., Celedón, J. (2019) Serum cadmium and lead, wheezing and lung function in a nationwide study of adults in the United States. Journal of Allergy and Clinical Immunology: In Practice. 7(8), 2653-2660. (responsible for processing and analyzing a large scale national health survey)
• Yano, H., Sawant, D., Chikina, M., Zhang, Q., Sun, Z., Sun, T., Chen, W., Workman, C., Vignali, D. (2019) Adaptive plasticity of IL10+ and IL35+ regulatory T cells and their cooperative regulation of anti-tumor immunity. Nature Immunology. 20(6), 724-735. (responsible for single-cell RNA data analyses)