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Research Interest

  • Integrative analysis in large-scale biobanks and electronic health record (EHR) data
  • Knowledge sharing and transfer learning across multi-site and multi-source data

  • Generative models for synthetic data generation and medical imaging

  • Fine-tuning large language models for health applications

  • Collaborative research to discover early disease and predict disease progression in Chronic Obstructive Pulmonary Disease (COPD)

Selective Projects

Statistical methods to incorporate external summary-level data from heterogeneous populations

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  • Gu T, Taylor JMG, Cheng W, Mukherjee B. (2019) Synthetic data method to incorporate external information into a current study. Canadian Journal of Statistics, 47(4): 580-603. [Link]

  • Gu T, Taylor JMG, Mukherjee B. (2021) A meta-inference framework to integrate multiple external models into a current study. Biostatistics. [Link]

  • Gu T, Taylor JMG, Mukherjee B. (2022) A synthetic data integration framework to leverage external summary-level information from heterogeneous populations. Biometrics. [Link]

Characteristics associated with COVID-19 outcomes

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Featured Publication (view full list in Publication)

  • Gu T, Mack JA, Salvatore M,.., Mukherjee B. (2020). Characteristics associated with racial/ethnic disparities in COVID-19 outcomes in an academic health care system. JAMA Network Open, 3(10): e2025197. [Link] 

  • Salvatore M, Gu T, Mack JA, .., Mukherjee B. A phenome-wide association study (PheWAS) of COVID-19 outcomes by race using the electronic health records data in Michigan Medicine (2021). Journal of Clinical Medicine, 10(7), 1351. [Link]

  • Roberts E, Gu T, Mukherjee B, Fritsche LG. (2022) Estimating COVID-19 vaccination Effectiveness using electronic health records of an academic medical center in Michigan. American Journal of Preventive Medicine Focus. [Link]

Collaborative research to discover early disease and predict disease progression in COPD

Featured Publication (view full list in Publication)

  • Belloli EA, Gu T, Vummidi D,..., Lama VN. (2021). Radiographic graft surveillance in lung transplantation: prognostic role of parametric response mapping. American Journal of Respiratory and Critical Care Medicine, 204(8):967-976. ​[Link] 

  • Salisbury M, Gu T, Murray S,..., Flaherty K. (2019). Hypersensitivity Pneumonitis: Radiologic Phenotypes are Associated with Distinct Survival Time and Pulmonary Function Trajectory. Chest, 155(4): 699-711. [Link]

  • Labaki WW, Gu T, Murray S,..., Han MK. (2019). Voxel-Wise Longitudinal Parametric Response Mapping Analysis of Chest Computed Tomography in Smokers. Academic Radiology, 26(2): 217-223. [Link]

© 2025 by Tian Gu 

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