Dr. Tian Gu is an Assistant Professor of Biostatistics in the Mailman School of Public Health at Columbia University. She specializes in developing statistical methods and computational tools for data integration using advanced technologies such as transfer and federated learning. 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 software and methods she developed support studies in various health fields such as infectious disease epidemiology, pulmonary diseases, cardiovascular diseases, and cancer in a privacy-preserving and communication-efficient manner.

Tian Gu’s research experiences allow her to make meaningful inferences through real-world data and collaborate with interdisciplinary experts to apply his findings to various research domains.