Ekaterina Abramova holds a PhD in Artificial Intelligence and Machine Learning from Imperial College London, an MSc in Financial Engineering from Birkbeck University of London, and a BSc in Chemistry with Forensic Analysis from Loughborough University. Her research specialises in the reinforcement learning branch of machine learning, with a particular focus on solving nonlinear optimal control problems. Additionally she is interested in python programming, algorithmic trading, statistics and the application of machine learning and econometric techniques to financial data analysis and forecasting. Her work has been included in various journals including Multidisciplinary Digital Publishing Institute (MDPI) Energies, European Workshop on Reinforcement Learning (EWRL) and Imperial College Computing Student Workshop (ICCSW).