2006.9 – 2010.7     四川大学基础数学专业 – 理学学士

2010.9 – 2015.7     中国科学院数学与系统科学研究院 – 理学博士

2015.8 – 2018.7     美国圣裘德儿童研究医院 – 博士后

2018.7 – 2021.4     美国密歇根大学 – 博士后

• 引进人才计划与启动，150万，2021-07-01到2023-12-31 

• 优秀青年科学基金项目（海外），国家自然科学基金，针对生物医学大数据的建模与分析，2022年1月1日 - 2024年12月31日，300万，主持

• 面上项目，国家自然科学基金，基于鞍点近似方法的全基因组关联分析研究，2023年1月1日 - 2026年12月31日，54万，主持

• 中韩国际合作项目，国家自然科学基金，全基因组关联分析算法及其在东亚人群中的应用，2024年7月1日 - 2026年12月31日，15万，主持

• 科技部重点专项“生物与信息融合（BT与IT融合）”，中华人民共和国科学技术部，2021YFF1201201，研究生物医学“类脑”智能工作流计算环境，2022年1月1日 - 2024年12月31日，33万元，参与

[1] (代表性论著[1]) Wei Zhou#* Wenjian Bi#*, Zhangchen Zhao#, Kushal K. Dey, Karthik A. Jagadeesh, Konrad J. Karczewski, Mark J. Daly, Benjamin M. Neale, Seunggeun Lee*, Set-based rare variant association tests for biobank scale sequencing data sets. Nature Genetics, 2022, 54(10): 1466-1469.
[2] (代表性论著[2]) Wenjian Bi#, Zhiyu Xu#, Feng Liu, Zhi Xie, Hao Liu, Xiaotian Zhu, Wenge Zhong, Peipei Zhang*, Xing Tang*, Genome-wide analyses reveal the contribution of somatic variants to the immune landscape of multiple cancer type, PLOS Genetics, 2024, 1: e1011134.
[3] (代表性论著[3]) Wenjian Bi#*, Wei Zhou#, Peipei Zhang, Yaoyao Sun, Weihua Yue, Seunggeun Lee*. Scalable mixed model methods for set-based association studies on large-scale categorical data analysis and its application to exome sequencing data in UK Biobank, American Journal of Human Genetics, 2023, 110(5): 762-773. 
[4] (代表性论著[4]) Wenjian Bi^*, Wei Zhou, Rounak Dey, Bhramar Mukherjee, Joshua N. Sampson, Seunggeun Lee^*, Efficient mixed model approach for large-scale genome-wide association studies of ordinal categorical phenotypes. American Journal of Human Genetics, 2021, https://doi.org/10.1016/j.ajhg.2021.03.019.（^*共同通讯作者）

[5] (代表性论著[5]) Wenjian Bi, Lars G. Fritsche, Bhramar Mukherjee, Sehee Kim, Seunggeun Lee^*, A fast and accurate method for genome-wide time-to-event data analysis and its application to UK-Biobank. American Journal of Human Genetics, 2020, 107(2): 222-233.

[6] (代表性论著[6]) Wenjian Bi, Zhangchen Zhao, Rounak Dey, Lars G Fritsche, Bhramar Mukherjee, Seunggeun Lee^*, A fast and accurate method for genome-wide scale phenome-wide G×E analysis and its application to UK Biobank. American Journal of Human Genetics, 2019, 105(6): 1182-1192.

[7] (代表性论著[7]) Wenjian Bi, Yun Li, Matthew P. Smeltzer, Guimin Gao, Shengli Zhao, Guolian Kang^*, STEPS: an efficient prospective likelihood approach to genetic association analyses of secondary traits in extreme phenotype sequencing. Biostatistics, 2020, 21(1): 33-49.

[8] (代表性论著[8]) Guolian Kang^#*, Wenjian Bi^#, Hang Zhang, Stanley Pounds, Cheng Cheng, Sanjay Shete, Fei Zou, Yanlong Zhao, Ji-Feng Zhang, Weihua Yue^*, A robust and powerful set-valued approach to rare variant association analyses of secondary traits in case-control sequencing studies. Genetics, 2017, 205(3): 1049-1062.（^#共同第一作者）

[9] Hang Zhang^#, Wenjian Bi^#, Yuehua Cui, Honglei Chen, Jinbo Chen, Yanlong Zhao*, Guolian Kang*, Extreme-value sampling design is cost-benefit only with valid statistical approach for exposure-secondary outcome association analyses. Statistical Methods in Medical Research, 2020, 29 (2): 466-480.（^#共同第一作者）

[10] Guolian Kang^#*, Wenjian Bi^#, Yanlong Zhao^*, Ji-Feng Zhang, Jun J. Yang, Heng Xu, Mignon L. Loh, Stephen P. Hunger, Mary V. Relling, Stanley Pounds and Cheng Cheng, A system identification approach to identifying genetic variants in sequencing studies for a binary phenotype, Human Heredity, 2014, 78: 104-116.（^#共同第一作者）

[11] Wenjian Bi^#, Guolian Kang^#*, Yanlong Zhao, Yuehua Cui, Yun Li, Christine M Hartford, Wing Leung and Ji-Feng Zhang^*, SVSI: A fast and powerful set-valued system identification approach to identifying rare variants in sequencing studies for ordered categorical traits, Annals of Human Genetics, 2015, 79: 294-309.（^#共同第一作者）

[12] Hao Yu^#, Wenjian Bi^#, Chenxing Liu, Yanlong Zhao, Ji-Feng Zhang, Dai Zhang^* and Weihua Yue^*, Protein-interaction-network-based analysis for genome-wide association analysis of schizophrenia in Han Chinese population, Journal of Psychiatric Research, 2014, 50: 73-78. （^#共同第一作者）

[13] Hao Yu^#, Wenjian Bi^#, Chenxing Liu, Yanlong Zhao, Dai Zhang and Weihua Yue^*, A hypothesis-driven pathway analysis reveals Myelin-related pathways that contribute to the risk of schizophrenia and bipolar disorder, Progress in Neuro-Psychopharmacology & Biological Psychiatry, 2014, 51: 140-145. （^#共同第一作者