PhD, Chemical and Biological Engineering
The Johns Hopkins University
ScB/AB, Chemical Physics/Mathematics
Employing diverse computational approaches, Nash seeks to uncover and explain deeply conserved mechanisms of host adaptation for pathogens ranging from bacteriophages to cancer cells. Integrating genomic and environmental data, Nash builds predictive models for public health outcomes.
Nash is an Assistant Professor in the Department of Epidemiology and Biostatistics at the CUNY Graduate School of Public Health and Health Policy and a Special Volunteer at the National Institutes of Health.
Nash’s implementation science efforts are focused on minimizing pandemic risk by improving methods for evolutionary forecasting and strengthening microbial surveillance programs.