Dr Chun Lin

Senior Research Scientist

Chun is a Senior Research Scientist. He has an air quality science background, with research experience ranging from development of passive air samplers, to capturing the spatio-temporal variability in urban ambient air quality using cost-effective measurement and high resolution modelling techniques, through research council funded projects and consultancy for government and industry partners. Recently Chun has been focusing on using novel sensor and data science techniques to better understand the drivers of people’s exposure to air pollution. He has been evaluating low-cost air quality sensors in real-world conditions, developing calibration methods to improve the quality of sensor measurements, and applying the research outcomes to characterising university students’ exposure to particulate matter in the project of “Air Pollution Impacts on Cardiopulmonary disease in Beijing: An integrated study of Exposure Science, Toxicogenomics & Environmental Epidemiology (APIC-ESTEE)”, jointly funded by the UK Natural Environment Research Council, the UK Medical Research Council, and the National Natural Science Foundation of China, under the programme of “Air Pollution and Human Health in a Chinese Megacity (APHH China)”. He is also partnering with interdisciplinary researchers at the School of Informatics, the Edinburgh Living Lab and the IoT Research and Innovation Services at the University of Edinburgh, as well as local communities, to develop a wireless sensor network on the Edinburgh LoRaWAN infrastructure, for democratising air quality data collection, increasing public awareness, and supplementing the existing data and evidences for policymakers.

Contact details:

Senior Research Scientist

Office: +44 (0) 131 449 8098

Email: chun.lin@iom-world.org


  • PhD Environmental Sciences, Lancaster University, UK
  • MSc Environmental Pollution and Protection, Lancaster University, UK
  • BSc Environmental Sciences, Nanjing University of Information Science and Technology, China

Research interests:

  • Urban air pollution formation, transport and mitigation
  • Exposure to air pollution, health impacts and intervention
  • Air quality and human exposure measurement and modelling techniques
  • Data science and environmental informatics
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