Summary
Angeliki Dimitriou is a PhD candidate and post-graduate software engineer at the Artificial Intelligence and Learning Systems Lab (NTUA) with 12 years of hands-on experience in software development and research. Her work focuses on graph-based learning, graph neural networks and explainability, complemented by practical projects in image classification and recommender systems. Proficient in Python and familiar with ML frameworks, she also brings prior Node.js and web application design experience to bridge research and production. A high-achieving graduate (MEng 9.42/10) and graduate assistant, she contributes to both team-based and independent research under Prof. Giorgos Stamou. She is particularly interested in relation prediction, semantic similarity and counterfactual reasoning—areas where she aims to make GNNs more interpretable. Based in Athens, Greece, she combines rigorous academic training with a pragmatic, detail-oriented approach to building and explaining ML systems.
12 years of coding experience
Master of Engineering - MEng, Computer Software Engineering, 9.42/10, Master of Engineering - MEng, Computer Software Engineering, 9.42/10 at National Technical University of Athens
High School Diploma, 19.8/20, High School Diploma, 19.8/20 at 1st Highschool of Chalkida