Summary
Elena Stamatelou is a PhD candidate and data scientist with nine years of experience building end-to-end, data-driven solutions for healthcare and public-sector challenges. She has led projects across the data pipeline—from collection and exploratory analysis to predictive modeling and deployment—applying her engineering background to patient data, medical images and biosignals. Her work includes optimizing criminal justice workflows, developing low-resource healthcare applications, and designing ML architectures for audio and behavioral monitoring in agricultural and clinical settings. Based in Amsterdam, she combines rigorous academic training (EngD/PhD focus) with practical product-oriented delivery at organizations like Philips and GOAL 3. Elena’s uncommon cross-disciplinary background in design and electrical engineering helps her translate complex data insights into actionable, user-centered solutions.
9 years of coding experience
5 years of employment as a software developer
Foundation degree, Design, Foundation degree, Design at Design Academy Eindhoven
High School, Technological direction, 19.1/20 - Excellent, High School, Technological direction, 19.1/20 - Excellent at 1st High School of Amaroussion
Doctor of Philosophy - PhD, Data Science & Healthcare, Doctor of Philosophy - PhD, Data Science & Healthcare at Vrije Universiteit Amsterdam (VU Amsterdam)
BEng & MEng (5-year joint degree; 300 ECTS), Electrical and Computer Engineering, 7.45/10, BEng & MEng (5-year joint degree; 300 ECTS), Electrical and Computer Engineering, 7.45/10 at University of Patras
Engineering Doctorate (EngD), Data Science, Final project: 9/10, Engineering Doctorate (EngD), Data Science, Final project: 9/10 at Eindhoven University of Technology
Master Thesis in Image Processing and Classification, Master Thesis in Image Processing and Classification at Vrije Universiteit Brussel
English, French, Greek, Dutch