Jean Feng, MS, PhD

Title(s)Assistant Professor, Epidemiology & Biostatistics
SchoolSchool of Medicine
Address550 16th Street
San Francisco CA 94143
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    Stanford University, Stanford, CABS2013Computer Science
    Stanford University, Stanford, CAMS2013Computer Science
    University of Washington, Seattle, WAMS2020Biostatistics
    University of Washington, Seattle, WAPhD2020Biostatistics

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    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help. to make corrections and additions.
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    Altmetrics Details PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
    1. Estimation of cell lineage trees by maximum-likelihood phylogenetics. Annals of Applied Statistics. 2021. Feng J, DeWitt III W, McKenna A, Simon N, Willis Amy, Matsen IV, F. View Publication.
    2. Learning to safely approve updates to machine learning algorithms. Proceedings of the Conference on Health, Inference, and Learning. 2021. Feng J. View Publication.
    3. An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression. Statistica Sinica. 2020. . View Publication.
    4. Rejoinder to Discussions on "Approval policies for modifications to machine learning-based software as a medical device: A study of bio-creep". Biometrics. 2021 03; 77(1):52-53. Feng J, Emerson S, Simon N. PMID: 33040357.
      View in: PubMed   Mentions:    Fields:    
    5. Approval policies for modifications to machine learning-based software as a medical device: A study of bio-creep. Biometrics. 2021 03; 77(1):31-44. Feng J, Emerson S, Simon N. PMID: 32981103.
      View in: PubMed   Mentions: 2     Fields:    
    6. Efficient nonparametric statistical inference on population feature importance using Shapley values. International Conference on Machine Learning. 2020. Williamson B, Feng J. View Publication.
    7. Survival analysis of DNA mutation motifs with penalized proportional hazards. Annals of Applied Statistics. 2019; 13. Feng J, Shaw D, Minin V, Simon N, and Matsen, FA. View Publication.
    8. Deep generative models for T cell receptor protein sequences. Elife. 2019 09 05; 8. Davidsen K, Olson BJ, DeWitt WS, Feng J, Harkins E, Bradley P, Matsen FA. PMID: 31487240.
      View in: PubMed   Mentions: 8     Fields:    Translation:Humans
    9. Nonparametric variable importance using an augmented neural network with multi-task learning. International Conference on Machine Learning. 2018. Feng J, Williamson B, Simon N, and Carone M. View Publication.
    10. Gradient-based Regularization Parameter Selection for Problems With Nonsmooth Penalty Functions. Journal of Computational and Graphical Statistics. 2018. Feng J, Simon N. View Publication.
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