Tian Gu, PhD

  • Assistant Professor of Biostatistics
Profile Headshot


Tian Gu joined the Department of Biostatistics at Columbia University as an Assistant Professor in 2023, after completing a two-year postdoctoral training at Harvard University. She currently specializes in advanced data integration methods for precision health research. Her work also extends to COVID-19 and health disparities, with a particular emphasis on utilizing multi-center and EHR-linked biobank data to enhance disease prediction and diagnosis in underrepresented populations. The methods and software she developed have supported studies in infectious disease epidemiology, pulmonary diseases, cardiovascular diseases, and cancer.

Academic Appointments

  • Assistant Professor of Biostatistics

Credentials & Experience

Education & Training

  • MS, 2017 Biostatistics, University of Michigan
  • PhD, 2021 Biostatistics, University of Michigan
  • Fellowship: 2023 Harvard University

Honors & Awards

  • 2023: ASA Statistic in Epidemiology Section Young Investigator Award
  • 2022: Harvard Data Science Initiative Postdoc Fellow Research Award
  • 2022: Biometrics Excellent Referee Award


Research Interests

  • Data integration
  • Federated learning
  • Health Disparities
  • Synthetic data
  • Transfer learning

Selected Publications

Gu, T., Han, Y., & Duan, R. (2023). Robust angle-based transfer learning in high dimensions. arXiv preprint.

Gu, T., Taylor, J. M. G., & Mukherjee, B. (2023). A synthetic data integration framework to leverage external summary?level information from heterogeneous populations. Biometrics. 

Labaki, W. W., Gu, T., Murray, S., Curtis, J. L., Wells, J. M., Bhatt, S. P., ... & Han, M. K. (2023). Causes of and Clinical Features Associated with Death in Tobacco Cigarette Users by Lung Function Impairment. American Journal of Respiratory and Critical Care Medicine.

Gu, T., Taylor, J. M., & Mukherjee, B. (2021). A meta-inference framework to integrate multiple external models into a current study. Biostatistics.

Gu, T., Mack, J. A., Salvatore, M., Sankar, S. P., Valley, T. S., Singh, K., ... & Mukherjee, B. (2020). Characteristics associated with racial/ethnic disparities in COVID-19 outcomes in an academic health care system. JAMA network open.