My name is Yang Ge (pronounced ‘Young G’).
I am a data scientist specializing in health science. I develop models for studies on respiratory diseases and other chronic conditions, as well as analyze vaccine responses and immunological data. I am passionate about improving human health. My work involves analyzing large datasets from clinical trials, electronic health records, wearable devices, and laboratory-based immunological assays to identify patterns, risk factors, and protective mechanisms. I collaborate closely with epidemiologists, clinicians, immunologists, and public health experts to ensure the models I build are accurate, interpretable, and actionable. Through predictive analytics and machine learning, I aim to facilitate earlier diagnoses, optimize vaccine effectiveness, enhance treatment outcomes, and improve healthcare efficiency. Ultimately, my goal is to translate complex health data into meaningful insights that advance patient care, strengthen public health policies, and promote better health outcomes.
More details of my research can be found on Google Scholar.
PhD, Epidemiology & Biostatistics
University of Georgia
MS, Biostatistics
University of Georgia