James H. Faghmous
Visiting Assistant Professor
My work leverages advanced machine learning and artificial intelligence along with design and domain expertise to address growing global health inequities. Specifically, I use novel ML/AI techniques to understand how social, environmental, and economic factors interact to create health disparities. I believe that the greatest source of precision and impact will come from these contextual factors and not from genetics.