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Wenjian Bi
Basic Medical Sciences
Peking University
Beijing
Language: Chinese, English
Genetics
Environmental Interaction
Survival Data
Multiclass Phenotype Data
Analysis Algorithms
Uk Biobank
Biomedical Data
High-Throughput Sequencing
Health Informatics
Big Data
Areas of Focus
- Statistical Genetics
- Biostatistics and Systems Biology
- System Identification and Control Algorithms
Work Experience
- 2015-2018 - St. Jude Children's Research Hospital, Postdoctoral Researcher
- 2018-2021 - University of Michigan, Postdoctoral Researcher
- 2021-Present - Peking University, Group Leader
Academic Background & Achievements
- 2010 - BSc: Sichuan University, School of Mathematics
- 2015 - PhD: Chinese Academy of Sciences, Mathematics and Systems Science
- National Youth Talent Program Awardee
Publications
- Efficient mixed model approach for large-scale genome-wide association studies of ordinal categorical phenotypes, Wenjian Bi et al., 2021
- A fast and accurate method for genome-wide time-to-event data analysis and its application to UK-Biobank, Wenjian Bi et al., 2020
- A fast and accurate method for genome-wide scale phenome-wide G×E analysis and its application to UK Biobank, Wenjian Bi et al., 2019
- STEPS: an efficient prospective likelihood approach to genetic association analyses of secondary traits in extreme phenotype sequencing, Wenjian Bi et al., 2020
- A robust and powerful set-valued approach to rare variant association analyses of secondary traits in case-control sequencing studies, Wenjian Bi et al., 2017
- Extreme-value sampling design is cost-benefit only with valid statistical approach for exposure-secondary outcome association analyses, Wenjian Bi et al., 2020
- A system identification approach to identifying genetic variants in sequencing studies for a binary phenotype, Wenjian Bi et al., 2014
- SVSI: A fast and powerful set-valued system identification approach to identifying rare variants in sequencing studies for ordered categorical traits, Wenjian Bi et al., 2015
- Iterative parameter estimate with batched binary-valued observations: convergence with an exponential rate, Wenjian Bi et al., 2014
- Set-valued system identification methods in retrospective cohort study and applications to GWAS, Wenjian Bi et al., 2017
- Protein-interaction-network-based analysis for genome-wide association analysis of schizophrenia in Han Chinese population, Wenjian Bi et al., 2014
- A hypothesis-driven pathway analysis reveals Myelin-related pathways that contribute to the risk of schizophrenia and bipolar disorder, Wenjian Bi et al., 2014
- Scalable generalized linear mixed model for region-based association tests in large biobanks and cohorts, Wenjian Bi et al., 2020
- UK-Biobank whole exome sequence binary phenome analysis with robust region-based rare variant test, Wenjian Bi et al., 2020
- Consensus protocol for multiagent systems with undirected topologies and binary-valued communications, Wenjian Bi et al., 2019
- Iterative parameter estimate with batched binary-valued observations, Wenjian Bi et al., 2016
