Dr Natalia Yerashenia
Dr Natalia Yerashenia is a Lecturer in Data Science & Analytics at the University of Westminster, with a multidisciplinary background spanning Engineering, Finance, and Computer Science. She holds BA and MA degrees in Economics and Production Engineering, an MSc in Finance and Accounting, and a PhD in Computer Science.
Her expertise covers a wide range of areas, including Applied Mathematics, Data Mining, Machine Learning, Semantic Data Analytics, Ontologies, Knowledge Graphs, and Graph Databases. She is particularly interested in semantic approaches to data and the application of advanced analytics across diverse domains, from finance and business to technology and education.
Passionate about teaching, Natalia is committed to preparing students for the demands of today’s data-driven world by combining strong theoretical foundations with practical application. She actively welcomes PhD students, researchers, and industry partners interested in collaborative projects that advance innovation in Data Science & Analytics.
PhD Thesis Topic – Generic Architecture for Predictive Computational Modelling with Application to Financial Data Analysis: Integration of Semantic Approach and Machine Learning
