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胡晓楠

  • 职称(Positional titles):

  • 讲师

  • 所在部门(Department):

  • 概率统计

  • 研究方向(Research direction):

  • 生物医学统计、模型选择与模型平均

  • 办公室(Office):

  • 教二楼 801

  • E-mail :

  • 个人主页(Personal home page):

个人简介 论文出版物 教学经历 科研项目及会议 获奖情况 Personal profile

胡晓楠,数学科学学院讲师,中国科学院大学概率论与数理统计博士,中国科学院数学与系统科学研究院、国家数学与交叉科学中心博士后,2017年8月至2018年8月在美国耶鲁大学博士联合培养。主要研究兴趣包括生物医学统计、模型选择与模型平均。在重要期刊Bioinformatics、Biometrics、Statistics in Medicine上发表多篇论文。


Zhang, S., Hu, X., Luo, Z., Jiang, Y., Sun, Y., & Ma, S. (2021). Biomarker-guided heterogeneity analysis of genetic regulations via multivariate sparse fusion. Statistics in Medicine, 40(17), 3915-3936.
Li, Y., Luo, Y., Ferrari, D., Hu, X., & Qin, Y. (2019). Model confidence bounds for variable selection (with discussion). Biometrics, 75(2), 392-403.
Hu, X., Zhang, W., Zhang, S., Ma, S., & Li, Q. (2016). Group-combined p-values with applications to genetic association studies. Bioinformatics, 32(18), 2737-2743.


本科生课程:
数学分析研讨课(2023-2024秋季,拔尖班)


考虑高维模型不确定的可靠模型选择与组合预测方法研究,中国博士后科学基金第70批面上资助,主持,2021 - 2023
平台供应链的管理理论与方法,国家自然科学基金重大项目,参与,


北京应用统计学会2022年学术研讨会优秀报告奖,2022年9月
中国科学院数学与系统科学研究院院长奖 优秀奖,2017年9月

Xiaonan Hu, Lecturer at School of Mathematical Sciences, Capital Normal University since Aug. 2023. Xiaonan received his PhD degree in Probability and Mathematical Statistics at University of Chinese Academy of Sciences in 2019, and jointly trained at Yale University from 2017 to 2018. Prior to joining the CNU, Xiaonan worked at Tencent as a data scientist from 2019 to 2021 and worked at the Academy of Mathematics and Systems Science, Chinese Academy of Sciences as a postdoctoral fellow from 2021 to 2023. His research interests include biostatistics, model selection and model averaging. Xiaonan has published about 10 papers in important journals, such as Bioinformatics, Biometrics, and Statistics in Medicine, etc.