Teaching

Current

Geographic Data Science

The intersection of GIS and Data Science, applied to real-world problems in R and Python. Co-taught with Dr Carmen Cabrera. UG/MSc, Liverpool.

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Advanced Geovisualisation

Modern web mapping and interactive geovisualisation for spatial data in Python. MSc, Liverpool.

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Computational Social Science

Data science methods for social science questions: supervised and unsupervised machine learning, network analysis, and time series. Co-designed with Prof Francisco Rowe and Dr Carmen Cabrera. MSc, Liverpool.

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IMAGO Training

Hands-on training in imagery data for research on sustainability, prosperity, and wellbeing. Part of the ESRC SDR-UK Imago Data Service.

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RCarto — Spatial data science with R or Python in French

Two-day hands-on training in spatial data science with R — from mapping and reprojection to geoprocessing and spatial interpolation. Uses real data from London, Paris, and Corsica. Delivered in French.

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Past

Applied Geographic Data Science

Applied GIS techniques for social science research in QGIS and R. MSc, LSE (2021–2023).

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Quantitative Methods in Geography

Regression analysis and GIS foundations for geographical research. BSc, LSE (2016–2017).

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Introduction to Geographical Research

Foundations of geographical research methods and quantitative analysis in Stata. BA, LSE (2019).

ArcGIS for Urban Planners

GIS analysis techniques for regional and urban planning research. MSc, LSE (2017–2020).

Prosperity Index Citizen Science Training

Workshop series on citizen science data collection methods for urban prosperity research. RELIEF Centre, UCL (2019–2020).