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Dr Roberto Murcio

  • Overview



    • Machine learning, Urban analytics and complex networks

      Inequality and transport accessibiliy

      Batty, M., Murcio, R., Iacopini, I., Vanhoof, M. and Milton, R., 2021. London in lockdown: Mobility in the pandemic city.

      Kempinska, K. and Murcio, R., 2019. Modelling urban networks using Variational Autoencoders. Applied
      Network Science, 4(1), pp.1-11.


    • PhD Applied Mathematics
    • MSc Computer Sciences
    • BSc Mathematics
    • BSc Computer Sciences

    Web profiles

    Administrative responsibilities

    • Recruitment officer - Geography department
    • Admission Tutor - International Development
  • Research


    Research interests

    • Urban Analytics and Complex Systems
    • Machine learning and transport networks
    • Mobile data
    • Inequality in cities
    • Geographical Information Systems

    Research overview

    My research focuses on the development and application of geospatial models in the context of urban analytics. I study innovative methods to explore how current Data Science and Machine Learning techniques can help us understand the underlying process behind different urban aspects, like commuting patterns and transport inequality

  • Supervision and teaching

    Supervision and teaching


    Msc Geographic Data Science

     - Programming for Geographic Data Science

     - Introduction to Geographic Data Science (Data Bases)

    Geography Undergraduated

    Mapping our world

    Teaching modules

    • Principles of Geographic Information Systems Level 6 (GGPH036S6)
    • Mapping our World (SSGE027S4)
    • Introduction to Geographic Data Science (SSGE113S7)
    • Programming for Geospatial Science and Visualisation (SSGE115S7)
    • Social and Urban Applications Using Geospatial Technologies (SSGE117S7)
    • Masterclass in Social Research (SSPO019S7)
  • Publications