Yang Lab @ Emory

Lab members

Current Lab Members (updated June 2025)

Name Research Topics Years in Lab
Randy Parrish
Biostat PhD Student		 Applying Bayesian genome-wide method to PWAS and develop TIGAR in R library. 2022-Present
     
Leo Liu
Biostat PhD Student		 Integrating multi-omics with GWAS summary stat. 2025-Present
     
Ruilong Chen
Biostat PhD Student		 Studying omics data by tensor regression model. 2026-Present
     
Peng Zhang
Biostat MS Student		 TWAS of PD using reference transcriptomics data of multiple tissues. 2025-Present
     
Lauren Ngo
Biostat MS Student		 Predicting AD traits using deep learning model. 2025-Present
     
Siyang Shen
Research Specialist (Former Biostat MS Student)		 Predicting the risk of developing breast cancer using machine learning models and Bioinformatics analysis. 2025-Present
     
Molly Murphy
DDS Undergraduate Student		 Single cell eQTL studies. 2025-Present

Lab Onboarding Guidelines

Lab Alumni

  • Arpit Ramani (Highschool Intern, 2024-2026), BGW-TWAS/PWAS study of AD dementia. College student at Georgia Institute of Techonology.

  • Conglin Bao (Biostat MS Student, 2024-2026), Develop novel LSTM-RNN model for predicting AD pathology from longitudinal clinic data. PhD student at South Carolina University.

  • Bo Shen (Biostat MS Student, 2024-2026), Develop novel TWAS method for correcting bias in using machine-learning imputed gene expressions. PhD student at Westlake University.

  • Shizhen Tang (Biostat PhD Student, 2021-2026), Integrating spatial transcriptomics data with snRNAseq data for differntial gene expression analysis. Research Faculty at Department of Statistics, Radiation Effects Research Foundation, Hiroshima, Japan.

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

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

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

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

  • Rebecca Yu (High School Intern, 2021-2023), develop TIGAR Web Tool on AWS. College student at Columbia University (Egleston Scholar).

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

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

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

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

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

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

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

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

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

  • Sini Nagpal, MS (Summer Intern, 2018). Nonparametric Bayesian method for TWAS. PhD student at Georgia Tech. Assistant Professor at IIT Bombay, India.

Lab Photos

  • May, 2026 (End-of-Semester Group Lunch)

  • 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