Megan Coffee, MD, PhD (DPhil) is a faculty member at the Grossman School of Medicine at New York University, interested in emerging infectious diseases.

She collaborates with a team led by Prof Anasse Bari at the Courant Institute of Mathematics on developing AI tools to better predict disease severity in COVID, while also looking at using machine learning to better recognize disease transmission in advance and study vaccine hesitancy.

She is an attending physician in infectious diseases at Bellevue Hospital in NYC and teaches on communicable diseases in humanitarian crises at Columbia University. She is an advisor on communicable diseases at the International Rescue Committee, where she has worked on Ebola, COVID and many other diseases and has also worked with the WHO in Geneva, CDC, US State Department, and other governments. She currently oversees emergency medicine fellows using telemedicine approaches in order to support COVID response in resource limited setting.

She completed her undergraduate and medical school education at Harvard University and her doctorate at Oxford University, where she worked on mathematical models of infectious disease epidemics in Professor Roy Anderson’s group. She completed her residency in internal medicine at Massachusetts General Hospital and her fellowship in infectious diseases at University of California at San Francisco, with research at UC Berkeley. She also works as a telemedicine doctor, answering questions about COVID around the US.

Megan was awarded a Z-inspection® Teaching Certificate.