top of page
Major research interests.  
​​
  • High/Ultra-high dimensional data analysis 
  • AI, Machine learning
  • Data integration
  • Network analysis
  • Neuroimaging, imaging genetics, -omics, EHRs
  • Aging, mental health, psychiatry 
Please check my recent Curriculum Vitae 
  • Bayesian parametric/nonparametric modelling 
Selected recent methdological publications
  • Li C, Tian X, Gao S, Wang S, Wang G, Zhao Y, Zhao Y. Bayesian longitudinal network regression with application to brain connectome genetics. Statistics in Medicine, in press, 2025

  • Sun Z, Xu W, Li T, Kang J, Alanis-Lobato G, Zhao Y. Bayesian thresholded modeling for integrating brain node and network predictors. Biostatistics, in press, 2025

  • Chen T, Tan C, Zhao H, Constable T, Yip S, Zhao Y. Bayesian subtyping for multi-state brain functional connectome with application on adolescent brain cognition. Biostatistics, in press, 2025. 

  • Wang S, Wang Y, Xu F, Shen L, Zhao Y. Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling. Medical Imaging Analysis, 99, 103309, 2025. 

  • Wang S, Wang Y, Xu F, Tian X, Fredricks C, Shen L, Zhao Y. Sex-specific topological structure associated with dementia via latent space estimation. Alzheimer's & Dementia, 20(12), 8387-8401, 2024

  • Dai W, Zhang Z, Song P, Zhang H, Zhao Y. Heritability and genetic contribution analysis of structural-functional coupling in human brain. Imaging Neuroscience, 2, 1-19, 2024

  • Tian X, Li F, Shen L, Esserman D, Zhao Y. Bayesian pathway analysis over brain network mediators for survival data. Biometrics, 8(4), 2024. [Earlier version won the John Van Ryzin Award in Enar 2023]

  • Wang S, Constable T, Zhang H, Zhao Y. Heterogeneity analysis on multi-state brain functional connectivity and adolescent neurocognition. Journal of the American Statistical Association, 119(546), 851-863, 2024. [Earlier version won the Best Student Paper Award in SMI 2022]

  • Tian X, Wang Y, Wang S, Zhao Y, Zhao Y. Bayesian mixed model inference for genetic association under related samples with brain network phenotype. Biostatistics, 25(4), 1195-1209, 2024.

  • Tian X, Ciarleglio M, Cai J, Greene E, Esserman D, Li F, Zhao Y. Bayesian semi-parametric inference for clustered recurrent events with zero-inflation and a terminal event. Journal of the Royal Statistical Society: Series C, 73(3), 598-620, 2024. [Earlier version won a student paper from Bayesian Statistical Science
    Section of the ASA in JSM 2023
    ]

  • Qiu W, Chu H, Wang S, Zuo H, Li X, Zhao Y, Ying R. Learning high-order relationship of brain regions. Proceedings of the International Conference of Machine Learning (ICML), 2024.

  • Zhao Y, Chang C, Zhang J, Zhang Z. Genetic underpinnings of brain structural connectome for young adults. Journal of the American Statistical Association, 118 (543), 1473-1487, 2023.

  • Zhao Y, Wu B, Kang J. Bayesian interaction selection model for multimodal neuroimaging data analysis. Biometrics, 79(2), 655-668, 2023.

  • Zhao Y, Chen T, Cai J, Lichenstein S, Potenza M, Ip S. Bayesian network mediation analysis with application to brain functional connectome. Statistics in Medicine, 41(20), 3991-4005, 2022

  • Zhao Y, Li T, Zhu H. Bayesian sparse heritability analysis with high-dimensional neuroimaging phenotypes. Biostatistics, 23(2), 467-484, 2022.

Links
bottom of page