Current Lab Members (updated June 2025)

Name Research Topics Years in Lab
Shizhen Tang
Biostat PhD Student
Integrating spatial transcriptomics and snRNA-seq data. 2021-Present
     
Randy Parrish
Biostat PhD Student
Applying Bayesian genome-wide method to PWAS. 2022-Present
     
Leo Liu
Biostat PhD Student
Integrating multi-omics with GWAS summary stat. 2025-Present
     
Bo Shen
Biostat MS Student
TWAS method for correcting bias due to imputed gene expression. 2024-Present
     
Conglin Bao
Biostat MS Student
Predicting AD pathologies using deep learning model. 2024-Present
     
Ruilong Chen
Biostat MS Student
Studying omics data by tensor regression model. 2025-Present
     
Arpit Ramani
Wheeler High School Student
BGW-TWAS/PWAS study of AD dementia. 2024-Present

Lab Onboarding Guidelines

Lab Alumni

  • Qile Dai (Biostat PhD Studen, 2020-2025), TWAS using summary-level QTL data and Cell-cell Communication. Currently Advisor Statistician at Eli Lilly.

  • Coco Wu (QTM Undergradudate Student, 2024-2025), Sex-specific TWAS of PTSD. Currently Master Student at Stanford.

  • Siyang Shen (Biostat MS Student, 2024-2025), Predict breast cancer risk from benign biopsy transcriptomic data. Currently Research Specialist at Emory.

  • Yingte Liu (Biostat Master Student, 2023-2024), RNAseq data analysis and AD pathology imputation. Currently Biostatistician at Grady Health System.

  • Rebecca Yu (High School Intern, 2021-2023), develop TIGAR Web Tool on AWS. Currently college student at Columnbia University.

  • Shuyi Guo (Biosat Master Student, 2022-2023), Apply BGW-TWAS to study AD dementia and extend BGW-TWAS to using only summary eQTL data. Currently PhD student at UTHealth Houston School of Public Health.

  • Tingyang Hu (Biosat Master Student, 2021-2023), PWAS of AD dementia. Currently PhD student at Pennsylvania State University College of Medicine.

  • Lei Wang (Biosat Master Student, 2021-2022), Develop BFGWAS for using summary GWAS data. Currently PhD student at University of Colorado Anschutz Medical Campus.

  • Kevin Johnson (Epidemiology Master Student, 2021-2022), Develop webtool for clinical sequence data analysis. Currently Epidemiologist at CDC.

  • Emilia (Xizhu) Liu (QTM Undergraduate Student, 2021-2022), Impute brain pathology using clinical data. Currently Senior Computational Statistician at Eli Lilly.

  • Junyu Chen (Research Specialist, 2018-2020), Derive functional Bayesian GWAS with multiple quantitative annotations. Currently PhD student at Emory.

  • Justin Luningham (Postdoc, 2018-2020), Novel Bayesian TWAS method by leveraging both cis- and trans- eQTL information. Currently Assistant Professor at University of North Texas Health Science Center.

  • Tianhui Mao (QTM Undergraduate Student, 2018-2019), Derive a risk prediction model for Alzheimer’s disease. Currently data scientist at McKinsey.

  • Xiaoran Meng (Master Student, 2018-2019), GTEx data analysis and tool development of TIGAR. Currently data scientist.

  • Sini Nagpal, MS (Summer Intern, 2018). Nonparametric Bayesian method for TWAS. Currently PostDoc at Georgia Tech.

Lab Photos

  • May, 2025 (End-of-Semester Group Lunch)

  • December, 2024 (End-of-Semester Group Lunch)

  • December, 2022 (End-of-Semester Group Lunch)

  • May, 2022 (End-of-Semester Group Lunch)

  • July, 2021 (All working remotely through this summer.)

  • August, 2020 (All working remotely during this pandemic year.)

  • May, 2019