Javier Llamas
PHD Researcher at DistriNet Research Unit @KU Leuven
Leuven, Flemish Brabant, Belgium
Summary
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Senior🎓
Top SchoolJavier Llamas is a PhD researcher at KU Leuven's DistriNet group with nine years of experience bridging cybersecurity and machine learning. His doctoral work focuses on applying ML to rule-based authorization systems, including web application firewalls, bot detection, and access control. Previously he delivered production ML solutions at Vodafone—building churn and sentiment models and ETL pipelines on Spark/AWS—and worked in incident response and malware forensics. Trained in software engineering, cybersecurity, and statistics, he uniquely combines hands-on SOC experience with rigorous data-science methods. Interested in practical, auditable security ML, he aims to make rule-based controls smarter without sacrificing interpretability.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at KU LeuvenCharles III University of Madrid (Universidad Carlos III de Madrid)Erasmus, Applied Computer Science, Erasmus, Applied Computer Science at Hogeschool Gent (HoGent)Master, Cybersecurity, Master, Cybersecurity at Universidad Politécnica de MadridProgramming languages (1)
Github contributions (5)
javiermzll/CCN-Whale-Recognition
Mar 2018 - Jul 2019
Contributions:43 commits, 43 pushes, 1 branch in 1 year 4 months
javiermzll/Angular-WebApp
Apr 2018 - Jul 2019
Contributions:56 pushes, 1 branch in 1 year 3 months
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