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Dr Gabriel Rosser
  • Research Associate
  • Dept of Civil, Environ &Geomatic Eng
  • Faculty of Engineering Science
Gabriel completed his D.Phil. at the Centre for Mathematical Biology, University of Oxford, in 2012. His thesis, "Mathematical modelling and analysis of aspects of planktonic bacterial motility", is focused on how to make use of noisy bacterial tracking data to extract statistics of interest and test model hypotheses.

Since then, he spent a year working as a data scientist in the risk team of a fintech company, before realising that research is his real passion.

He now works in the SpaceTimeLab (PI: Prof Tao Cheng) on the Crime, Poicing & Citizenship project (www.ucl.ac.uk/cpc).
Research Summary
My main research focus is on predictive modelling of crime. It has long been known that some crimes exhibit somewhat predictable patterns in space and time. For example, if a burglary occurs down your street then your property may be at greater risk of victimization for some ensuing time period.

Using historic crime data, some Python code and a smattering of mathematics, I aim to generate forecasts that state where the risk of crime will be elevated in the future.

I'm also interested in the more general problem of how to analyse and visualise spatio-temporal data.
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