Galina is based at the University of Oxford’s Smith School of Enterprise and the Environment. Her work focuses on quantifying barriers to the global electricity sector’s transition to renewable energy and away from fossil fuels. In her work, she applies machine-learning-based techniques to uncover novel insights form large complex asset-level datasets, to inform future energy infrastructure investment decisions. Two of her recent studies were published in Nature Energy, including one on predicting Africa’s future capacity mix. This work was covered by over 100 news outlets and radio programmes, including BBC, The Guardian, Bloomberg, The New York Times and TIME.

Previously at the OECD, an international organisation in Paris, Galina led projects for the public and private sector on the extractive sector's decarbonisation, green development finance and natural capital management. Galina’s experience also includes the role of an economic adviser to the Minister of Industrialisation and Trade in Namibia. She started her career as an economist in the UK and Scottish Governments. 

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