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Dr Yang Li

Senior Lecturer

Architecture, Computing and Engineering (ACE)

    Yang Li is a specialist in data mining, data integration and geocomputational analysis.

    Dr. Yang Li has rich experiences in both applications and research of data analysis. Particularly, he has expertise in data mining, data integration and geocomputational analysis including data quality modelling and sensitivity analyses. He is a senior research fellow and the programme leader of Data Science (MSc and Professional Doctorate) in University of East London. He is also a fellow of Royal Geographical Society.

    He has participated in numerous secondary data analysis projects, including for EU, OGI, KPMG LLP, NHS, local councils and charity organisations. He has undertaken a range of research projects funded by Department of Health, British Academy and ESRC. His works cover areas of crime, health, education, planning, community and environment.

    Dr. Yang Li has a number of papers published in peer-review research journals, edited books, international conferences and technology magazines.

    Fellow, Royal Geographical Society (RGS)

    Member, Association of Geographic Information (AGI)


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    2015 - present UCL Bloomsbury and East London Doctoral Training Partnership, funded by ESRC 

    2009 - 15 Impact study of the London 2012 Olympic Games, funded by The Economic & Social Research Council;

    2011 – 15 Transitioning towards Urban Resilience and Sustainability, funded by EU

    2013 - 14 Attitudes, experiences and responses to extremism in the London Boroughs of Redbridge and Greenwich, funded by Home Office

    2010 - 11 Spatial Accessibility Modelling for Social Infrastructure Planning, funded by British Academy

    2009 - 10 Health capacity modelling for growth, funded by NHS





    Data analysis, data quality, data management, data mining, data modelling, applications of Geo-Information Science in areas of policing and crimes, healthcare services, education, sports, marketing, urban development and environmental engineering.

    • Spatial data analysis

    • Spatial Data quality analysis

    • GIS and Environmental modelling

    • Location-Based Services (LBS)

    • Quantitative analysis

    • Data mining & modelling

    • Data quality & data management


    MSc in Data Science
    Professional Doctorate in Data Science