Angelos is a Ph.D. candidate in Machine Learning at the Athens University of Economics & Business (department of Informatics), specializing in patern recognition and unsupervised learning, with applications in natural language processing (NLP). ,

I hold a B.Sc. in Mathematics from the National and Kapodistrian University of Athens, where he specialized in applied mathematics, and an M.Sc. in Business Mathematics- a joint program between the National and Kapodistrian University of Athens (Department of Mathematics) and the Athens University of Economics and Business (Department of Informatics), where he focused on data analytics and machine learning. In his research, he developed methods and algorithms for detecting meaningful paterns in data, addressing challenges posed by heterogeneous structures and noise.

His research interests include anomaly detection, structure-adaptive clustering methodologies, graph-based data modeling and NLP-driven patern recognition. By integrating mathematical rigor and practical applicability, I aim to contribute to accessible, transparent machine learning tools for data-driven decision-making.