Nash was drawn to a career in biology to help distil complex and confusing data into predictive models for disease.
Before joining CUNY, Nash was a principal investigator at the National Institutes of Health. He splits his time between NYC and DC where he remains an active member of the NIH research community.
Degrees
PhD in Chemical and Biological Engineering from Johns Hopkins University
ScB/AB in Chemical Physics/Mathematics from Brown University
Research Interests
Employing diverse computational approaches, Nash seeks to uncover and explain deeply conserved mechanisms of host adaptation for pathogens ranging from bacteriophages to cancer cells. Involved in both theory and practice, Nash’s research group is always open to new collaborations. No dataset is too large or small. No problem is too arcane or mundane.