Research Scientist at Hornetsecurity (Formerly Vade)
Paris, Ile-de-France
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Summary
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Senior
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Sarah Wassermann is a research scientist specializing in cybersecurity, network measurements, and machine learning, with about a decade of experience across academia and industry. She holds PhD-level training and a strong track record of hands-on research internships and collaborations (Inria, Northwestern, AIT) that produced practical systems for encrypted-traffic inference and QoE estimation. Currently at Hornetsecurity's PAIR team, she applies (Gen)AI to detect targeted email attacks and build interactive security solutions, after driving predictive-maintenance and KPI-to-KQI work at Huawei. Her work uniquely bridges large-scale Internet measurement, active learning for efficient ground truth, and explainable ML pipelines, enabling research outcomes that translate directly into production risk reduction. Based in Paris, she is open to research roles in Zurich, Luxembourg, or Paris and brings both deep measurement expertise and an early knack for prototyping impactful tooling.
10 years of coding experience
1 year of employment as a software developer
Vienna University of Technology
Master’s Degree, Computer Science, Master’s Degree, Computer Science at University of Liège
Baccalauréat, Mathematics and Computer Science, Baccalauréat, Mathematics and Computer Science at Lycée Michel Rodange
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Pierre and Marie Curie University
DisNETPerf - a Distributed Internet Paths Performance Analyzer
Contributions:1 PR, 17 pushes, 4 branches in 3 years 5 months
pathsperformanceinternetanalyzerdistributed
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Sarah Wassermann - Research Scientist at Hornetsecurity (Formerly Vade)