BSc Computer Science, École Polytechnique Fédérale de Lausanne (EPFL);
MSc Data Science École Polytechnique Fédérale de Lausanne (EPFL)
During her studies at EPFL, Sofiya gained experience in both research and industry at institutions including NTU Singapore, EPFL, Nestle and Swissquote. She worked on applications of machine learning to finance and economics, including high-frequency foreign exchange data analysis, client behavior modeling, and ESG risk forecasting using large language models.
Her recent research focuses on developing intelligent agents combining natural language processing and reinforcement learning, as well as applying AI methods to economic and financial prediction. Her research interests include machine learning for finance, market microstructure, and AI-driven decision systems.