Liang Ma is a PhD candidate at the Transport & Environment Laboratory and the Transport Strategy Centre (TSC) within the Centre for Transport Studies, Imperial College London.
She received a first-class MSc degree in Transport with Business Management from Imperial College London in 2014, and an outstanding graduate award of Dalian Maritime University with a BSc in Transport Management (Port Operation & Management) and a BA in English in 2013. She has been working as a data scientist and urban planner in the Technology Innovation Centre at Beijing Tsinghua Tongheng Urban Planning & Designing Institute for more than 2 years.
Her main research field and project experience lie in big data application in transport and urban planning. This includes quantitative studies on job-housing balance, spatial-temporal individual behaviours, public transport assessment with fine-granularity data, relationship between road traffic and land use pattern, and model development with advanced machine learning methods, etc.
Her PhD research focuses on evaluating the causal impacts of transport interventions on air quality and public health with a series of causal inference methods, considering the complicated mechanism of interactions among urban subsystems.