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I’m Congbo Song (宋从波), a Senior Research Scientist (2022.12-) in Data Science and Analytics in Atmospheric Air Pollution, at the National Centre for Atmospheric Science (NCAS) based in the Department of Earth and Environmental Science, the University of Manchester. My research interests are in the field of Chain of Air Pollution Accountability, including Emissions, Air Quality, Public health and Air Quality Interventions. A key aspect of my research is to understand the impacts of source-specific air pollution on human health and climate through advanced receptor modeling. I’m also interested in understanding environmental policies, environmental drivers and atmospheric processes controlling the air we breath using data-driven models such as machine learning and casual inference techniques. My recent focus is to develop data-driven models to understand causes and changes in air pollution in the real-time towards net-zero emissions.
I’m a member of the Manchester Environmental Data Analytics Lab (MEDAL), with Prof. David Topping and Dr. Zhonghua Zheng.
“Stay hungry, stay foolish”- Steve Jobs
“A wise man can learn more from a foolish question than a fool can learn from a wise answer”- Bruce Lee
“You have to be hungry in order to savour the taste of success”- Harprateek Grewal