Summary
Héctor Menéndez is a Faculty Lecturer and Research Associate with 11 years of experience at leading UK universities, currently affiliated with King’s College London and UCL’s Software Systems Engineering Group. He holds a PhD in Computer Science and dual BSc degrees in Computer Science and Mathematics from Universidad Autónoma de Madrid, complemented by master's degrees in both disciplines. His research blends algorithmic and data-driven approaches to malware detection, graph-based clustering, genetic and ant colony optimization, and social/text mining, with a track record of moving theoretical methods toward practical profiling and prediction models. Known as a researcher-programmer, he combines rigorous mathematical training with hands-on implementation skills, enabling reproducible experimental systems. A less obvious strength is his sustained cross-disciplinary grounding in both mathematics and engineering, which informs robust solutions to messy real-world security and social data problems.
11 years of coding experience
Doctor of Philosophy (PhD), Ingeniería informática, Sobresaliente Cum Laude, Doctor of Philosophy (PhD), Ingeniería informática, Sobresaliente Cum Laude at Universidad Autónoma de Madrid
Spanish, English