Ekaterina Abramova

Dr. Ekaterina Abramova is a Machine Learning expert with a PhD in Artificial Intelligence and Machine Learning from Imperial College London. Her specialisation is in Reinforcement Learning, with research focusing on the discovery of algorithmic trading signals in financial and electricity markets. Ekaterina’s current research combines econometric methods and advanced machine learning techniques to identify patterns in financial time series to uncover statistical arbitrage opportunities. Her work has been published in various journals including Multidisciplinary Digital Publishing Institute (MDPI) Energies, and European Workshop on Reinforcement Learning (EWRL). Beyond her academic interests, she is passionate about technological innovation, particularly in the areas of blockchain, decentralization, and Web3.0’s potential to reshape data ownership.