Sophie Van Huellen


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Personal profile


Sophie van Huellen is a Lecturer in Development Economics. Her research focus is on primary commodity markets and commodity dependency; financialisation; global production networks; macro-financial linkages; and machine learning applications in economics.

She obtained a BA in Economics, Politics and Philosophy from the University of Erfurt, Germany. She was further trained in economics (MSc and PhD) at SOAS University of London.


Supervision information

I am keen to supervise PhD candidates who are interested in any topic that falls into my own research interestes. For guidance, please refer to the below list of currently supervised PhD titles and any recent publications/projects.

  • Why do commodity rich developing nations fail to adequately manage their risks?
  • Evaluating different econometric and machine learning techniques for forecasting oil prices
  • How do business cycles affect productive capabilities development at firm and regional level?

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 10 - Reduced Inequalities
  • SDG 12 - Responsible Consumption and Production

Education/Academic qualification

Doctor of Philosophy, Economics, SOAS University of London

Master of Science, Development Economics, SOAS University of London

Bachelor of Arts, Economics, Politics, and Philosophy, University of Erfurt

Areas of expertise

  • HB Economic Theory
  • Development Economics
  • Natural Resource Governance
  • Primary Commodities
  • Agricultural Commodities
  • International Finance
  • Global value chains (GVCs)
  • Financialisation
  • Political Economy
  • Heterodox Economics
  • HG Finance
  • Market Microstructure
  • International Finance
  • HA Statistics
  • Applied Econometrics
  • Machine Learning

Research Beacons, Institutes and Platforms

  • Global Development Institute


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Collaborations and top research areas from the last five years

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