Megan Coffee, MD, PhD, is an Assistant Professor of Population and Family Health at Columbia University. She specializes in infectious diseases and employs mathematical modeling and machine learning to predict, detect, and address infectious disease outbreaks in resource-limited regions worldwide. With degrees from Harvard and Oxford University, her research spans HIV spread in Africa, migration, and mobility. She has directed tuberculosis wards in Haiti and managed Ebola Units in Sierra Leone. She actively engages with WHO, CDC, and UN groups on infectious diseases, and her work includes AI-driven tools for epidemic response and addressing vaccine hesitancy.