Huibin Zhou

About

Huibin Zhou is the Henry Ford II Professor of Statistics and Data Science at Yale University. He earned his Ph.D. from Cornell University in 2004 and has held various academic positions at Yale since then, progressing from Assistant Professor to full Professor and eventually to his current named professorship. Zhou has also served as Chair of the Department of Statistics and Data Science at Yale University during multiple terms between 2012 and 2021. His professional service includes organizing and co-organizing several workshops and conferences focused on empirical processes, high-dimensional data, and statistical methodologies. Zhou's teaching portfolio spans a wide range of courses in statistics and data science, including probability theory, decision theory, nonparametric estimation, data mining, machine learning, and functional data analysis. His research contributions are extensive and cover theoretical and computational aspects of statistics, including high-dimensional data analysis, Gaussian mixture models, community detection in networks, covariance and precision matrix estimation, Bayesian structured linear models, and sparse canonical correlation analysis. Zhou's work has been published in leading journals such as the Annals of Statistics, Journal of the American Statistical Association, and Journal of Machine Learning Research, reflecting his significant impact on modern statistical theory and methodology.

Research topics

• Biology
• Genetics
• Psychiatry
• Medicine
• Psychology
• Clinical psychology
• Computer Science
• Neuroscience
• Internal medicine
• Developmental psychology

Selected publications

• Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology

  Nature Genetics · 2021 · 1557 citations

  Bipolar disorder is a heritable mental illness with complex etiology. We performed a genome-wide association study of 41,917 bipolar disorder cases and 371,549 controls of European ancestry, which identified 64 associated genomic loci. Bipolar disorder risk alleles were enriched in genes in synaptic signaling pathways and brain-expressed genes, particularly those with high specificity of expression in neurons of the prefrontal cortex and hippocampus. Significant signal enrichment was found in ge…

  DOI

• Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits

  Nature Neuroscience · 2020 · 402 citations

  1st authorCorresponding

  Problematic alcohol use (PAU) is a leading cause of death and disability worldwide. Although genome-wide association studies have identified PAU risk genes, the genetic architecture of this trait is not fully understood. We conducted a proxy-phenotype meta-analysis of PAU, combining alcohol use disorder and problematic drinking, in 435,563 European-ancestry individuals. We identified 29 independent risk variants, 19 of them novel. PAU was genetically correlated with 138 phenotypes, including sub…

  DOI

• A large-scale genome-wide association study meta-analysis of cannabis use disorder

  The Lancet Psychiatry · 2020 · 375 citations

  BACKGROUND: Variation in liability to cannabis use disorder has a strong genetic component (estimated twin and family heritability about 50-70%) and is associated with negative outcomes, including increased risk of psychopathology. The aim of the study was to conduct a large genome-wide association study (GWAS) to identify novel genetic variants associated with cannabis use disorder. METHODS: To conduct this GWAS meta-analysis of cannabis use disorder and identify associations with genetic loci,…

  DOI

• Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction

  Nature Neuroscience · 2021 · 329 citations

  DOI

• Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors

  Biological Psychiatry · 2021 · 240 citations

  DOI

Frequent coauthors

• Joel Gelernter

  300 shared

• Hongjie Yu

  Zhejiang University of Technology

  253 shared

• Henry R. Kranzler

  Washington University in St. Louis

  231 shared

• Di Mu

  Tongji University

  151 shared

• Wenwu Yin

  Chinese Center For Disease Control and Prevention

  139 shared

• Shengjie Lai

  China Medical University

  126 shared

• Qiulan Chen

  Beijing Anzhen Hospital

  121 shared

• Rachel L. Kember

  118 shared

Similar researchers at Yale University

• Mark Gersteinh-217
• Andrew Barronh-88
• Yihong Wuh-37