My research is focused on developing and using identifiability and parameter estimation methods in mathematical modeling to generate insights into disease mechanisms, forecasting, and intervention design. My work blends mathematics, statistics, and epidemiology to both develop new methods and theory and to translate this theory to directly improve population health.
Marisa Eisenberg
Assistant Professor, School of Public Health
and intervention design, forecasting, Mathematical modeling of disease mechanisms
