Andre is a Post-Doctoral Research Scientist in Geospatial Epidemiology in the Malaria Atlas Project at the Big Data Institute, University of Oxford. His first degree was in Geography (University of Fribourg, Switzerland). In 2017, he completed his PhD in Statistics (University of St Andrews, UK), applying a Bayesian spatio-temporal geostatistical model to capture fine-scale patterns of non-state terrorism across the world. Andre’s current interests are in extending geostatistical models to address policy-relevant issues raised by the spread of infectious diseases.

Selected Biography

URLDOIPython, A., Illian, J., Jones-Todd, C., Blangiardo, M.,

A Bayesian Approach to Modelling Subnational Spatial Dynamics of Worldwide Non-State Terrorism

Journal of the Royal Statistical Society: Series A (Statistics in Society). May 2018 182(1): 323-344.
URLDOIPython, A., Illian, J., Jones-Todd, C., Blangiardo, M.,

Explaining the Lethality of Boko Haram’s Terrorist Attacks in Nigeria, 2009–2014: A Hierarchical Bayesian Approach

International Conference on Bayesian Statistics in Action. June 2016 231-239.
URLDOIPython, A., Brandsch, J., Tskhay, A.,

Provoking local ethnic violence–A global study on ethnic polarization and terrorist targeting.

Political Geography. May 2017(58): 77-89.
URLDOIKozlowski, G., Rion, S., Python, A., Riedo, S.,

Global conservation status assessment of the threatened aquatic plant genus Baldellia (Alismataceae): challenges and limitations

Biodiversity and conservation. August 2009 18(9): 2307-2325.