Dr. Gu’s research focuses on developing statistical and machine-learning approaches to advance precision medicine and improve patient outcomes in diverse populations. Her work spans predictive modeling with large-scale biobank and EHR data, generative models for synthetic data generation and medical imaging, and fine-tuning large language models for health applications. She also develops federated learning and other privacy-preserving approaches to enable secure analysis of sensitive health data. The methods and software she developed have supported studies in infectious disease epidemiology, pulmonary diseases, cardiovascular diseases, and cancer.