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Major research interests.  
  • High/Ultra-high dimensional data analysis 
  • 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
  • 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, in press, 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, in press, 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, in press, 2024. [Earlier version won a student paper from Bayesian Statistical Science
    Section of the ASA in JSM 2023
    ]

  • Duong-Tran D, Kaufmann R, Chen J, Wang X, Garai S, Xu FH, Bao J, Amico E, Kaplan AD, Petri G, Goni J, Zhao Y, Shen L. Homological landscape of human brain functional sub-circuits. Mathematics, in press, 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

  • Li F, Lu W, Wang Y, Pan Z, Greene EJ, Meng G, Meng C, Blaha O, Zhao Y, Peduzzi P, Esserman D. A comparison of analytical strategies for cluster randomized trials with survival outcomes in the presence of competing risks. Stat Methods Med Res, 31(7):1224-1241, 2022. 

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

  • Zhao Y, Sun Z, Kang J. Discussion to: Bayesian graphical models for modern biological applications by Y. Ni, V. Baladandayuthapani, M. Vannucci and F.C. Stingo, Statistical Methods & Applications, 31(2):279-286, 2022.

  • Li Y, Yu C, Zhao Y, Aseltine R, Yao W, Chen K. Pursuing sources of heterogeneity in modeling clustered population. Biometrics, 78(2), 716-729, 2022.

  • Zhao Y, Chang C, Hannum M, Lee J, Shen R. Bayesian network-driven clustering analysis with feature selection for high-dimensional multi-modal molecular data. Sci Rep 11, 5146, 2021.
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