Ma T. Feb 2026. " Post-GWAS methods using large-scale biobank data". Invited seminar talk at the University of Pittsburgh Department of Biostatistics, Pittsburgh, PA [Slide]
Ma T. Dec 2025. "Leveraging AI techniques to study the risk of accelerated brain aging and dementia using large-scale Biobank data". Invited talk at ICSA International 2025, Taipei [Slide]
Ma T. Aug 2025. "Bayesian fine mapping of phenome-wide transcriptome-wide association studies". Invited talk at EcoSta 2025, Tokyo, Japan [Slide]
Ma T. Aug 2025. "Incorporating sparse group lasso in transcriptome-wide association studies (TWAS) analysis to determine genetic risk factors of brain aging". Invited talk at JSM 2025, Nashville, TN [Slide]
Ma T. May 2024. "Bayesian variable selection model for Phenome-wide Transcriptome-wide association studies fine mapping". Invited talk at STATGEN 2024, Pittsburgh, PA [Slide]
Ma T. Mar 2024. "High-dimension-to-high-dimension Bayesian variable selection for Phenome-wide Transcriptome-wide association studies fine mapping". Invited talk at ENAR 2024 Spring meeting, Batlimore, MD [Slide]
Ma T. Aug 2023. “Bayesian indicator variable selection for multiple responses of heterogeneous sparsity patterns with application to multi-trait fine mapping”. Invited talk at Joint Statistical Meetings (JSM) 2023, Toronto, Canada. [Slide]
Ma T. Oct 2022. “Transcriptomic congruence analysis for evaluating model organisms”. Invited seminar talk at the Department of Epidemiology and Biostatistics, University of Maryland, College Park, MD. [Slide]
Ma T. July 2022. “High-dimension to high-dimension screening for detecting genome-wide epigenetic regulators of gene expression”. Invited talk (virtual) at International Chinese Statistical Association (ICSA) China conference 2022, Xi’an, China. [Slide]
Ma T. June 2022. “High-dimension to high-dimension screening for detecting genome-wide epigenetic regulators of gene expression”. Invited talk (virtual) at the 5th International Conference on Econometrics and Statistics (EcoSta 2022), Tokyo, Japan. [Slide]
Ma T. June 2022. “High-dimension to high-dimension screening for detecting genome-wide epigenetic regulators of gene expression”. Invited talk at International Chinese Statistical Association (ICSA) Symposium 2022, Gainsville, Florida. [Slide]
Ma T. Oct 2021. “Novel variable screening methods for omics data integration”. Invited seminar talk by the Department of Mathematics, University of Maryland, College Park, MD. [Slide]
Ma T. June 2021. “Congruence evaluation for model organisms in transcriptomic response”. Invited seminar talk (virtual) by University of Maryland Greenebaum Comprehensive Cancer Center (UMGCCC), University of Maryland School of Medicine, Baltimore, MD. [Slide]
Ma T. Dec 2020. “High-dimensional variable screening: from single study to multiple studies”. Invited talk (virtual) by the Department of Biostatistics and Bioinformatics, Georgetown University, Washington, DC. [Slide]
Ma T. Dec 2019. “Variable screening with multiple studies and its application in survival analysis”. Invited talk at the 11th International Chinese Statistical Association (ICSA) International Conference, Hangzhou, China. [Slide]
Ma T. Aug 2019. “Variable screening with multiple studies and its application in survival analysis”. Invited talk at Joint Statistical Meetings (JSM) 2019 at Denver, CO. [Slide]
Ma T. May 2019. “Variable selection in censored threshold regression model with applications to HIV drug adherence data”. Invited talk at the 2nd Conference on Lifetime Data Science at Pittsburgh, PA. [Slide]
Ma T. Oct 2018. “Statistical and computational methods for the meta-analysis and resemblance analysis of transcriptomic studies”. Invited seminar talk at the School of Public Health, University of Maryland, College Park, MD. [Slide]