Teng Fei, PhD

Assistant Attending Biostatistician

Teng Fei, PhD

Assistant Attending Biostatistician
Teng Fei


Emory University

Current Research Interest

Dr. Fei’s research interests are in the development of latent class analysis methods for longitudinal and time-to-event data, and batch effect adjustment methods for omics data. His current research interests also include developing novel statistical methods for microbiome data preprocessing and data analysis. Dr. Fei collaborates with the Marcel van den Brink Lab and the Bone Marrow Transplant Service in supporting microbiome data analysis and complex clinical data analysis. 


Selected peer-reviewed publications:

  1. Nguyen CL, Markey KA, Miltiadous O, Dai A, Waters N, Sadeghi K, Fei T, Shouval R, Taylor BP, Liao C, Slingerland JB, Slingerland AE, Clurman AG, Maloy MA, Bohannon L, Giardina PA, Brereton DG, Armijo GK, Fontana E, Gradissimo A, Gyurkocza B, Sung AD, Chao NJ, Devlin SM, Taur Y, Giralt SA, Perales MA, Xavier JB, Pamer EG, Peled JU, Gomes ALC, van den Brink MRM. High-resolution analyses of associations between medications, microbiome, and mortality in cancer patients. Cell. 2023 Jun 8;186(12):2705-2718.e17. PMCID: PMC10390075.
  2. Campbell AC, Fei T, Baik JE, Park HJ, Shin J, Kuonqui K, Brown S, Sarker A, Kataru RP, Mehrara BJ. Skin microbiome alterations in upper extremity secondary lymphedema. PLoS One. 2023;18(5):e0283609. PMCID: PMC10191344.
  3. Fei T, Hanfelt J, Peng L. Evaluating the association between latent classes and competing risks outcomes with multiphenotype data. Biometrics. 2023 Mar;79(1):488-501. PMCID: PMC8926941.
  4. Hart KR, Fei T, Hanfelt JJ. Scalable and robust latent trajectory class analysis using artificial likelihood. Biometrics. 2021 Sep;77(3):1118-1128. PMCID: PMC7937764.
  5. Fei T, Yu T. scBatch: batch-effect correction of RNA-seq data through sample distance matrix adjustment. Bioinformatics. 2020 May 1;36(10):3115-3123. PMCID: PMC7214039.


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Teng Fei discloses the following relationships and financial interests:

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