Dr Roberto Murcio

Overview

Highlights

• Machine learning, Urban analytics and complex networks
  

Qualifications

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

Web profiles

• Personal Blog

Administrative responsibilities

• Admissions Deputy - School of Social Sciences
• Admission Tutor - Geography Cluster

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

I welcome enquiries from prospective PhD students who are interested in undertaking research in any areas related with Geospatial studies, Machine Learning and Urban Analytics

Teaching

I teach different modules part of the MSc Geographic Data Science, where I touch different subjects, from how to collect, wrangled and analyse spatial data, to how to build Machine Learning Models with an spatial twist.

I use different technological tools in my courses, including Python, PostgreSQL and QGIS.

Teaching modules

• GDS Dissertation (GGPH017D7)
• Mapping our World (SSGE027S4)
• Introduction to Geographic Data Science (SSGE113S7)
• Geospatial Programming and Spatial Machine Learning (SSGE115S7)
• Social and Urban Applications Using Geospatial Technologies (SSGE117S7)

Publications

External Repositories