Teng Fei, PhD

Assistant Attending Biostatistician
Epidemiology & Biostatistics
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Teng Fei, PhD

Assistant Attending Biostatistician
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Teng Fei

Email

[email protected]

Education

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. 

Publications

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.

Disclosures

Doctors and faculty members often work with pharmaceutical, device, biotechnology, and life sciences companies, and other organizations outside of MSK, to find safe and effective cancer treatments, to improve patient care, and to educate the health care community.

MSK requires doctors and faculty members to report (“disclose”) the relationships and financial interests they have with external entities. As a commitment to transparency with our community, we make that information available to the public.

Teng Fei discloses the following relationships and financial interests:

No disclosures meeting criteria for time period


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This page and data include information for a specific MSK annual disclosure period (January 1, 2022 through disclosure submission in spring 2023). This data reflects interests that may or may not still exist. This data is updated annually.

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