一、个人简介

美国哥伦比亚大学博士、博士后。主要研究领域为：机器学习、生物医学统计、网络分析、函数型数据分析、精准医学、神经影像、高维数据分析。

邮箱：xiesh@swufe.edu.cn

个人主页：https://shanghongxie.github.io/

二、教授课程

机器学习与数据挖掘、机器学习导论、文献阅读与论文写作

三、学术成果

代表性论文：

更多学术论文请见：https://shanghongxie.github.io/

·Xie, S., Li, X., McColgan, P., Scahill, R.I., Zeng, D., Wang, Y. (2020).Identifying disease-associatedbiomarker networkfeaturesthrough conditional graphical model. Biometrics76 (3),995-1006（封面文章）

·Xie, S., Zeng, D., Wang, Y. (2021).Integrativenetwork learningformulti-modality biomarkerdata. AnnalsofAppliedStatistics15 (1), 64-87

·Xie, S.,Mcdonnell, E., Wang, Y. (2022). Conditional Gaussian graphical model for estimating personalized disease symptom networks.Statistics in Medicine41 (3), 543-553.

·Xie, S., Tarpey, T., Petkova, E., Ogden, R.T. (2022). Multiple domain and multiple kernel outcome-weighted learning for estimating individualized treatment regimes.Journal of Computational and Graphical Statistics31 (4), 1375-1383.

·Xie, S., Wang, W., Wang, Q., Wang, Y., Zeng, D. (2022). Evaluating effectiveness of public health intervention strategies for mitigating COVID-19 pandemic.Statistics in Medicine41 (9), 3820-3836.

·COVID-19 Forecast Hub Consortium(including Xie, S.) (2022). Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US.Proceedings of the National Academy of Sciences of the United States of America.119 (15), e2113561119.

·Li, X.,Xie, S.,Zeng, D., Wang, Y.(2018). Efficient l0-norm feature selection based on augmented and penalized minimization.Statistics in Medicine37 (3), 473-486.