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Environmental Economist | Energy, Sustainable Finance and Machine Learning, University of Oxford

Galina is based at the Oxford University's Smith School of Enterprise and the Environment, working at the intersection of energy transition, sustainable investment and machine learning.

Previously, Galina was based at the OECD in Paris, where she worked with both developed and developing countries on effective policy making, specialising in climate development finance and leading work on the decarbonisation of the extractive sector. Her experience also includes working as an economic adviser to the Minister and Permanent Secretary of Industrialisation in Namibia. She started her career as an economist at the UK Department for Communities and Local Government and in the Chief Economic Adviser's Office of the Scottish Government.

Galina holds an MPhil in spatial economics from the University of Cambridge and MA in economics from the University of Glasgow.


  • –present
    PhD Candidate, Energy, Sustainable Finance, Data Science and Machine Learning, University of Oxford


    University of Oxford, DPhil
    University of Cambridge, MPhil


  • 2021
    Alova, G., Trotter, P.A. & Money, A. A machine-learning approach to predicting Africa’s electricity mix based on planned power plants and their chances of success. Nat Energy 6, 158–166 (2021)., Nature Energy
  • 2020
    Alova, G. A global analysis of the progress and failure of electric utilities to adapt their portfolios of power-generation assets to the energy transition. Nat Energy 5, 920–927 (2020)., Nature Energy