Jean Feng, MS, PhD
Assistant Professor
Epidemiology & Biostatistics
School of Medicine

For the most up-to-date information, please visit our lab website!

Education & Training

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• MS Biostatistics University of Washington 2020
• PhD Biostatistics University of Washington 2020
• BS Computer Science Stanford University 2013
• MS Computer Science Stanford University 2013

Websites

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• Lab website (jeanfeng.com)

Publications (26)

Top publication keywords:
Incisional HerniaPolicySoftwareMachine LearningResearch DesignModels, StatisticalProstate-Specific AntigenAdaptive ImmunityAlgorithmsBayes TheoremRecombination, GeneticReceptors, Antigen, T-Cell, alpha-betaDeath, Sudden, CardiacPulmonary Disease, Chronic ObstructiveLiver Failure

• Homelessness and Incidence and Causes of Sudden Death: Data From the POST SCD Study.
  JAMA internal medicine 2023 Haghighat L, Ramakrishna S, Salazar JW, Feng J, Chiang J, Moffatt E, Tseng ZH
• Development of a Machine Learning Model of Postoperative Acute Kidney Injury Using Non-Invasive Time-Sensitive Intraoperative Predictors.
  Bioengineering (Basel, Switzerland) 2023 Zamirpour S, Hubbard AE, Feng J, Butte AJ, Pirracchio R, Bishara A
• Multi-institutional Development and External Validation of a Machine Learning Model for the Prediction of Distant Metastasis in Patients Treated by Salvage Radiotherapy for Biochemical Failure After Radical Prostatectomy.
  European urology focus 2023 Sabbagh A, Tilki D, Feng J, Huland H, Graefen M, Wiegel T, Böhmer D, Hong JC, Valdes G, Cowan JE, Cooperberg M, Feng FY, Mohammad T, Shelan M, D'Amico AV, Carroll PR, Mohamad O
• Development and Validation of Prediction Models and Risk Calculators for Posthepatectomy Liver Failure and Postoperative Complications Using a Diverse International Cohort of Major Hepatectomies.
  Annals of surgery 2023 Wang JJ, Feng J, Gomes C, Calthorpe L, Ashraf Ganjouei A, Romero-Hernandez F, Benedetti Cacciaguerra A, Hibi T, Adam MA, Alseidi A, Abu Hilal M, Rashidian N, International Post-Hepatectomy Liver …
• Overcoming barriers in the design and implementation of clinical trials for acute kidney injury: a report from the 2020 Kidney Disease Clinical Trialists meeting.
  Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association 2023 Lazzareschi D, Mehta RL, Dember LM, Bernholz J, Turan A, Sharma A, Kheterpal S, Parikh CR, Ali O, Schulman IH, Ryan A, Feng J, Simon N, Pirracchio R, Rossignol P, Legrand M

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• Development and External Validation of a Machine Learning Model for Prediction of Lymph Node Metastasis in Patients with Prostate Cancer.
  European urology oncology 2023 Sabbagh A, Washington SL, Tilki D, Hong JC, Feng J, Valdes G, Chen MH, Wu J, Huland H, Graefen M, Wiegel T, Böhmer D, Cowan JE, Cooperberg M, Feng FY, Roach M, Trock BJ, Partin AW, D'Amico AV, Carroll…
• Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials.
  NPJ digital medicine 2023 Esteva A, Feng J, van der Wal D, Huang SC, Simko JP, DeVries S, Chen E, Schaeffer EM, Morgan TM, Sun Y, Ghorbani A, Naik N, Nathawani D, Socher R, Michalski JM, Roach M, Pisansky TM, Monson JM, Naz F,…
• Hypertension Requiring Medication Use: a Silent Predictor of Poor Outcomes After Pancreaticoduodenectomy.
  Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract 2023 Lin JJ, Conroy PC, Romero-Hernandez F, Yilma M, Feng J, Hirose K, Nakakura E, Maker AV, Corvera C, Kirkwood K, Alseidi A, Adam MA
• Hand-Assisted Versus Pure Minimally-Invasive Distal Pancreatectomy: Is There a Downside to Lending a Hand?
  World journal of surgery 2022 Miller PN, Romero-Hernandez F, Conroy P, Calthorpe L, Yilma M, Mohamedaly S, Kelly YM, Feng J, Hirose K, Kirkwood K, Maker AV, Corvera C, Nakakura E, Alseidi A, Adam MA
• Sequential algorithmic modification with test data reuse
  Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence 2022 Jean Feng, Gene Pennllo, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio, Alexej Gossmann
• Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials.
  NPJ digital medicine 2022 Esteva A, Feng J, van der Wal D, Huang SC, Simko JP, DeVries S, Chen E, Schaeffer EM, Morgan TM, Sun Y, Ghorbani A, Naik N, Nathawani D, Socher R, Michalski JM, Roach M, Pisansky TM, Monson JM, Naz F,…
• Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare.
  NPJ digital medicine 2022 Feng J, Phillips RV, Malenica I, Bishara A, Hubbard AE, Celi LA, Pirracchio R
• Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees.
  Journal of the American Medical Informatics Association : JAMIA 2022 Feng J, Gossmann A, Sahiner B, Pirracchio R
• Ensembled sparse-input hierarchical networks for high-dimensional datasets
  Statistical Analysis and Data Mining 2022 Jean Feng, Noah Simon
• Selective prediction-set models with coverage rate guarantees.
  Biometrics 2021 Feng J, Sondhi A, Perry J, Simon N
• 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
• Learning to safely approve updates to machine learning algorithms
  Proceedings of the Conference on Health, Inference, and Learning 2021 Feng J
• ESTIMATION OF CELL LINEAGE TREES BY MAXIMUM-LIKELIHOOD PHYLOGENETICS.
  The annals of applied statistics 2021 Feng J, Dewitt WS, McKenna A, Simon N, Willis AD, Matsen FA
• An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression
  Statistica Sinica 2020 Feng J and Simon N
• Approval policies for modifications to machine learning-based software as a medical device: A study of bio-creep.
  Biometrics 2020 Feng J, Emerson S, Simon N
• Rejoinder to Discussions on "Approval policies for modifications to machine learning-based software as a medical device: A study of bio-creep".
  Biometrics 2020 Feng J, Emerson S, Simon N
• Efficient nonparametric statistical inference on population feature importance using Shapley values
  International Conference on Machine Learning 2020 Williamson B, Feng J
• Survival analysis of DNA mutation motifs with penalized proportional hazards
  Annals of Applied Statistics 2019 Feng J, Shaw D, Minin V, Simon N, and Matsen, FA
• Deep generative models for T cell receptor protein sequences.
  eLife 2019 Davidsen K, Olson BJ, DeWitt WS, Feng J, Harkins E, Bradley P, Matsen FA
• Gradient-based Regularization Parameter Selection for Problems With Nonsmooth Penalty Functions
  Journal of Computational and Graphical Statistics 2018 Feng J, Simon N
• 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