Naif Mehanna is a Senior Threat Researcher with nine years of experience blending academic rigor and industry impact in web security, browser fingerprinting, online advertising, and bot detection. He holds a PhD from the University of Lille and has published award-winning research—co-leading a novel GPU-based fingerprinting technique and devising an end-to-end methodology to measure the carbon impact of online advertising. Naif has translated research into production at companies like DataDome and Castle, building defenses that detect fraudulent traffic and hard-to-catch bots. His background in robotics and data engineering informs a pragmatic, systems-oriented approach spanning Rust, Python, Node.js, and distributed tooling such as Kubernetes and Spark. Known for bridging academia and industry, he frequently advises stakeholders from government to private sector on privacy and ad-tech threats.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Lille 1 Sciences and Technology
Engineer's degree Ingénierie informatique micro-électronique automatique, Engineer's degree Ingénierie informatique micro-électronique automatique at Polytech Lille
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