Research Summary

I am interested in the computational aspects of developing and applying geographic data science approaches to solve societal and environmental issues on a variety of spatial scales. My research includes three principle areas: 1) spatiotemporal computing, 2) geovisualization and 3) machine learning. Currently, I work on developing domain decomposition approaches for accelerated computation of kernel density estimation and Ripley’s K function, two popular spatiotemporal analysis techniques.

Education

  • Bachelor of Science, Geography, University of Zurich
  • Master of Arts, Geography, University of North Carolina at Charlotte
  • Graduate Certificate, Advanced Databases and Knowledge Discovery , University of North Carolina at Charlotte
  • Doctor of Philosophy, Geography, University of North Carolina at Charlotte