**PhD Researcher Profile Page**
**For Natalia's Lecturer Profile Page visit this link**
Natalia Yerashenia received both BA and MA degrees in Economics from Belarusian National Technical University (Minsk, Belarus) in 2011 and 2012. Later, she taught the Financial Management module at the same university. Before moving to London in 2015, Natalia also worked as a Financial Data Analyst for the Department of Economic Analysis at the Civil Engineering Research Institute for three years.
In 2018 she graduated with an MSc in Finance and Accounting from the University of Westminster. Currently, Natalia is the final-year Computer Science PhD Researcher at the University of Westminster (PhD Viva passed on November 21, 2022).
Her interest lies in understanding how knowledge graphs, ontologies, and machine learning techniques can be applied in analysing financial and market data. Natalia's specialist topics are Fintech, Data Mining, Semantic Web / Ontologies, Graph Databases, and Neural Networks.
PhD Thesis Topic — Generic Architecture for Predictive Computational Modelling with Application to Financial Data Analysis: Integration of Semantic Approach and Machine Learning