Yang Lab @ Emory

Lab members

Current Lab Members

Name   Research topic   Year in Lab
         
Qile Dai
Biostat PhD Student		   Supervised Tensor Decomposition tool for studying Cell-cell Communication.   2020 - Present
         
Shizhen Tang
Biostat PhD Student		   Quantile regression based test for
differential gene expression analysis.		   2021 - Present
         
Randy Parrish
Biostat PhD Student		   Applying Bayesian genome-wide method to PWAS.   2022 - Present
         
Leo Liu
Biostat MS Student		   TWAS of AD with integrative bulk and single nucleus RNA-seq data.   2023 - Present
         
Coco Wu
QTM Undergradudate Student		   Train sex-specific gene expression imputation models.   2024 - Present

Lab Onboarding Guidelines 2022

Lab Alumni

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

  • 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 work at CDC.

  • Emilia (Xizhu) Liu (QTM Undergraduate Student, 2021-2022), Impute brain pathology using clinical data. Currently Master student at Yale University School of Public Health.

  • 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.

  • 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

  • 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