Lead of Data Engineering
Within the Malaria Atlas Project, Camilo leads the development of geospatial solutions to support the effective consolidation, and dissemination of epidemiological research data.
Camilo has more than 10 years’ experience developing geospatial technology using state-of-the-art Big Data methodologies and high-performance computing technologies for the purposes of scientific research in different fields such as Mapping Science, Space Science, Urban Science and, more recently, to address epidemiological research.
Camilo holds a Master of Science in Geographic Information Science from University College London (UCL). He completed his dissertation on ‘A GIS-based Web 2.0 mapping application for the creation of geomorphological datasets of Mars’, which was the Winner for the RICS London and South East Student Awards 2010.
Prior to joining the Malaria Atlas Project, Camilo co-founded and acted as a Geospatial Information Engineer at Prospective Labs. As a Technical Lead for the Prospective Platform, he led a small team of software engineers building an integrated urban forecasting platform whose goal is to enable governments, businesses and communities to foresee the impact of changes to city systems and plan alternative futures.
Before that, Camilo was a Research Associate at the UCL Bartlett Centre for Advanced Spatial Analysis, where his research focussed on the study of urban accessibility and sustainability using spatial analysis and land use transportation modelling methods, in a way that the predictions can be used to make better informed decisions for the determination of policies to improve urban sustainability; using spatiotemporal GIS, activity-based modelling and distributed computing with open source tools.