Christopher Lloyd

Dr. Christopher Lloyd is a Senior Research Fellow in Geographic Information Systems (GIS) within the WorldPop Programme at the University of Southampton. His high-impact research focuses on developing geospatial datasets using open-source methods, particularly building classification via machine learning. These datasets support population modeling and inform development policy in low/middle-income countries regarding urban planning and resource allocation.

His research interests span:

• GIS and remote sensing for spatial demography
• Machine learning applications in settlement classification
• Glacial geomorphology and landscape evolution

Publications demonstrate strong emphasis on geospatial data harmonization, population mapping, and machine learning techniques applied to urban infrastructure analysis. Recent work includes glacial landform studies and high-resolution population distribution models.

Awards:

• Fellow of the Geological Society (2003)
• BEST SHORT PAPER (2020)
• Vice-Chancellor's Award (2018)

Co-supervises PhD students and contributes to training materials for GIS professionals. Leads geospatial data production for international development projects funded by organizations including the Bill & Melinda Gates Foundation.

Affiliated with the WorldPop research group which focuses on developing open geospatial methods for population mapping in low/middle-income countries.