Professor | Wenjian Bi | Asia Growth Partners

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Name	Wenjian Bi
Language ability	Chinese, English
Province	Beijing

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Name

Wenjian Bi

Language ability

Chinese, English

Province

Beijing

University/Lab Affiliation and Title	Peking University
Faculty	Basic Medical Sciences
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
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

University/Lab Affiliation and Title

Peking University

Faculty

Basic Medical Sciences

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

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

Areas of Focus	Statistical Genetics Biostatistics and Systems Biology System Identification and Control Algorithms
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

Areas of Focus

Statistical Genetics
Biostatistics and Systems Biology
System Identification and Control Algorithms

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

Genetics Environmental Interaction Survival Data Multiclass Phenotype Data Analysis Algorithms Uk Biobank Biomedical Data High-Throughput Sequencing Health Informatics Big Data

Chen Li - Zhejiang University

Xiaohui Zhan - Chongqing Medical University

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