Christopher Dunstan
Christopher Dunstan is a geospatial data scientist with a strong passion for environmental health and the analysis of spatiotemporal phenomena. He has worked on projects examining the spatial correlation between land use and clinical data, such as telomere length.
Education
- B.S. Mathematics, University of Maryland, Baltimore County 2020
- Ph.D. Geospatial Analytics, North Carolina State University 2026
Department
University of North Carolina, Chapel Hill Department of Genetics