About Me
I am a Ph.D. candidate in Quantitative and Computational Biology ( QCB Graduate Program ), working at the Storey Lab for Statistical Genomics in the Lewis-Sigler Institute for Integrative Genomics, Princeton University.
I received my Master of Arts in Quantitative and Computational Biology at Princeton in 2021, completed my Graduate Certificate in Statistics and Machine Learning in 2022 at Princeton CSML.
Prior to joining Princeton, I received my Bachelor of Science and Economics from Peking University in July 2017, received my Master of Science from Department of Biostatistics at Harvard University in May 2019.
Research Interest
My major research interests lie in developing statistical and computational methods to measure complex biological system, especially focusing on
Methodology
Applications
Awards and Honors
The King Peh Kwoh Fellowship awarded by Princeton University, 2020
Lewis-Sigler Institute Scholars Award in Quantitative and Computational Biology, awarded by Lewis-Sigler Institute, Princeton University, 2019
Outstanding Graduate of Beijing as a Bachelor, awarded by the Beijing Municipal Commission of Education, 2017
Excellent Graduate who has demonstrated outstanding performance, awarded by Peking University, 2017
UCLA Cross-disciplinary Scholars in Science and Technology Award in recognition of outstanding research and presentation skills, awarded by University of California, Los Angeles, 2016
National Scholarship awarded twice by the Ministry of Education of China, 2016 & 2015
May Fourth Scholarship awarded by Peking University, 2014
Publications
[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
Teaching
Princeton University
Harvard University
Course ID: STAT 215 / STAT 115 / BST 282
Title: Introduction to Computational Biology and Bioinformatics
Semester: 2019 Spring
Instructor: Dr. X. Shirley Liu
My Role: Teaching Assistant2.1 Course Website: Canvas
2.2 Evaluation: Students’ comments about Prof. Liu and me
2.3 Chapters instructed by me: Videos
Course ID: BST 215
Title: Linear and Longitudinal Regression
Semester: 2018 Summer
Instructor: Dr. Garrett Fitzmaurice1.1 Course Website: Canvas
1.2 Evaluation: Students’ comments about Prof. Fitzmaurice and me
