教育背景
2019.09 - ，博士：普林斯顿大学 | 量化与计算生物学 | 刘易斯-西格勒基因组学研究所
2019.09 - 2022.12，博士辅修：普林斯顿大学 | 统计学与机器学习 | 统计与机器学习中心
2019.09 - 2021.01，硕士（二）：普林斯顿大学 | 量化与计算生物学 | 刘易斯-西格勒基因组学研究所
2017.09 - 2019.06，硕士（一）：哈佛大学 | 计算生物学与量化遗传学 | 生物统计系 & 流行病学系
2013.09 - 2017.07，学士：北京大学 | 理学 & 经济学
研究兴趣
我的研究主要关注研发精确、高效的统计和计算方法用以测度复杂生命系统。
理论:
应用:
研究经历
2020.05 - ，普林斯顿大学 Storey Lab || 导师：Dr. John D. Storey
2019.09 - 2020.05，普林斯顿大学刘易斯-西格勒研究所实验室轮转 || 导师：Dr. Julien F. Ayroles | Dr. John D. Storey | Dr. Joshua M. Akey
2018.05 - 2019.08，哈佛大学生物统计系研究助理 || 导师：林希虹教授(Dr. Xihong Lin)
2016.05 - 2016.09，加州大学洛杉矶分校统计系CSST学者 || 导师：李婧翌教授 (Dr. Jingyi Jessica Li)
2014.07 - 2017.07，国家基础学科拔尖学生培养试验计划（珠峰计划）|| 导师：温东辉教授 (Dr. Donghui Wen)荣誉与奖励
2020.02，普林斯顿大学研究生院遴选授予 King Peh Kwoh 奖学金
2019.04，普林斯顿大学刘易斯-西格勒研究所颁与量化与计算生物学学者奖
2017.07，获评北京市优秀毕业生 & 北京大学优秀毕业生 (获奖比例: 1/30)
2016.09，加州大学洛杉矶分校科学与技术跨学科学者奖
2016.04，第二届唐孝炎环境科学创新奖学金
2016.12 & 2015.12，连续两年获得国家奖学金 (获奖比例: 2/1000)
2016.12 & 2015.12，连续两年获评北京大学三好学生标兵 (获奖比例: 1/30)
2014.12，北京大学五四奖学金文章
[1] Xiong F, Su Z, Tang Y, Dai T, Wen D. (2024) Global WWTP Microbiome-based Integrative Information Platform: From experience to intelligence [J]. Environmental Science and Ecotechnology. (First online: 12 December 2023) DOI:10.1016/j.ese.2023.100370
[2] Li F, Bao Y, Chen L, Su Z, Tang Y, and Wen D. (2023) Screening of priority antibiotics in Chinese seawater based on the persistence, bioaccumulation, toxicity and resistance [J]. Environment International. (First online: 10 August 2023) DOI:10.1016/j.envint.2023.108140
[3] Su Z, Wen D, Gu AZ, Zheng Y, Tang Y, and Chen L. (2023) Industrial effluents boosted antibiotic resistome risk in coastal environments [J]. Environment International. (First online: 21 December 2022) DOI:10.1016/j.envint.2022.107714
[4] Tang Y and Storey JD. (2022) On the polygenic trait model in population-based human genetics studies: What is random and what is fixed [C]. The 72nd Annual Meeting of The American Society of Human Genetics. 2022 Sep. Reviewer’s Choice Abstract Award (PDF)
[5] Tang Y, Dai T, Su Z, Hasegawa K, Tian J, Chen L, and Wen D. (2020) A tripartite microbial-environment network indicates how crucial microbes influence the microbial community ecology [J]. Microbial Ecology. (First online: 19 August 2019) DOI:10.1007/s00248-019-01421-8
[6] Zhao M, Tang Y, Kim H, and Hasegawa K. (2018) Machine learning with k-means dimensional reduction for predicting survival outcomes in patients with breast cancer [J]. Cancer Informatics. (First online: 9 November 2018) DOI:10.1177/1176935118810215
[7] Dai T, Zhang Y, Ning D, Su Z, Tang Y, Huang B, Mu Q, and Wen D. (2018) Dynamics of sediment microbial functional capacity and community interaction networks in an urbanized coastal estuary [J]. Frontiers in Microbiology. (First online: 13 November 2018) DOI:10.3389/fmicb.2018.02731
[8] Su Z, Dai T, Tang Y, Tao Y, Huang B, Mu Q, and Wen D. (2018) Sediment bacterial community structures and their predicted functions implied the impacts from natural processes and anthropogenic activities in coastal area [J]. Marine Pollution Bulletin. (First online: April 2018) DOI:10.1016/J.MARPOLBUL.2018.04.052
[9] Dai T, Zhang Y, Tang Y, Bai Y, Tao, Y, Huang B, and Wen D. (2016) Identifying the key taxonomic categories that characterize microbial community diversity using full-scale classification: a case study of microbial community in the sediments of Hangzhou Bay [J]. FEMS Microbiology Ecology. (First online: 10 July 2016) DOI:10.1093/femsec/fiw150