معرفی
Tian Gu serves as an Assistant Professor of Biostatistics at Columbia University's Mailman School of Public Health. She is a verified Data Science Institute (DSI) Member with additional affiliations in the Health Analytics and Computational Social Science centers.
Her research pioneers statistical and machine learning methodologies to advance precision medicine, focusing on predictive modeling with large-scale biobank and electronic health record (EHR) data, generative models for synthetic data and medical imaging, and fine-tuning large language models for health applications. She actively develops federated learning frameworks and privacy-preserving techniques to enable secure analysis of sensitive health information while maintaining data integrity.
These innovations directly support clinical research across infectious disease epidemiology, pulmonary conditions, cardiovascular diseases, and oncology, demonstrating cross-disciplinary impact in improving patient outcomes for diverse populations through data-driven healthcare solutions.
Scientific Awards: No awards documented in source material.
Advising and Grants: Student mentorship details and grant funding information were not specified in the provided profile.
