Summary
Antreas Dionysiou is a Marie Skłodowska-Curie Postdoctoral Fellow and computer scientist with nine years of experience at the intersection of machine learning and security. He holds top honors throughout his academic path (BSc, MSc, PhD) and has focused his research on machine learning security, data-breach detection, and validating that memory-safe languages’ binaries preserve compile-time guarantees. Antreas combines academic rigor—publishing and presenting at conferences—with practical engineering across startups and industry projects, from NLP and computer vision to DevSecOps tooling. His recent work on VALIDATE tackles a subtle real-world threat: maliciously altered “memory-safe” binaries that bypass store screening, advancing static and dynamic analyses to ensure end-to-end guarantees. He also has teaching and leadership experience as a tenure-track lecturer and former ML team lead, bringing both curriculum development and client-facing delivery to his technical portfolio. Based in the Netherlands, he blends deep research insights with product-minded engineering and entrepreneurship.
9 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science: Information Security & Machine Learning, Doctor of Philosophy - PhD, Computer Science: Information Security & Machine Learning at University of Cyprus
CISCO CCNA Discovery certified, Computer Systems Networking and Telecommunications, Excellent, CISCO CCNA Discovery certified, Computer Systems Networking and Telecommunications, Excellent at Cisco Networking Academy
ICT GCE A Level, Computer Science, A, ICT GCE A Level, Computer Science, A at University of Cambridge
Limassol, Cyprus kato polemidia high school
English, Greek