Bio
My research focuses on the application of data science, machine learning and spatial statistic methods to describe, analyze, model and predict human and community scale, development patterns and processes, primarily using the programming languages python, R and java. The primary question I am seeking to answer is: how do we best simulate and predict global human development at scale as a spatial process in order to promote democratic, stakeholder selection of sustainable environmental, economic and social future paths?
Professional Experience
William & Mary, Department of Data Science
Lecturer of Data Science (2015-2021)
University of Bonn, Center for Development Research
Senior/Junior Researcher (2006-10 & 2014-15)
Santa Fe Institute
Postdoctoral Fellow (2013)
Technical University of Berlin, Department of Transportation System Planning and Telematics
Senior Researcher (2010-2013)
Education
PHD IN GEOGRAPHY (2011)
Rheinischen Friedrich-Wilhelms-Universität Bonn
MASTER OF SCIENCE IN CITY AND REGIONAL PLANNING (2001)
Georgia Institute of Technology
BACHELOR OF FINE ARTS IN ARCHITECTURAL HISTORY (1999)
Savannah College of Art and Design
Publications
Chapter "GeoAI for Humanitarian Assistance" in Book "Handbook of Geospatial Artificial Intelligence"
Other Publications
Schneider, K. R. et al. The state of food systems worldwide in the countdown to 2030. Nature food 4, 1090–1110. issn: 2662-1355. doi:10.1038/s43016-023-00885-9 (Dec. 2023).
Frazier, T. J. & Alfons, A. Generating a Close-to-Reality Synthetic Population of Ghana. SSRN. doi:10.2139/ssrn.2086345 (June 2012).