Christina Last is a Research Data Scientist in the Research Engineering Group at the Alan Turing Institute, where she specialises in building machine learning solutions to understand our built environment. Christina has collaborated with a number of city governments and international organizations on software and data science, in both developed and rapidly developing urban environments in the US, the UK, and Vietnam. She has led various international research projects, most recently as a Senior Data Scientist collaborating with UNICEF to model air quality during COVID-19 lockdowns using machine learning.

Christina’s project will develop a machine learning model that predicts the concentration of short-lived climate pollutants (PM10), trained on post-covid lockdown pollution information. This data can be used to identify and build evidence to reduce pollution and emissions.