Luca Pernie is a Senior Data Scientist with 12 years of experience bridging high-energy physics and financial fraud detection, holding a PhD for work that contributed to the discovery of the Higgs boson and authoring 400+ publications. After leading calibration, alignment and rare-signal searches at CERN and Texas A&M—where his algorithms improved sensitivity by factors of two to three—he transitioned to industry building real-time deep-learning fraud models for FICO’s Falcon platform. He now applies that blend of large-scale data engineering, probabilistic modeling and behavioral analytics at SmartAsset to detect subtle patterns across billions of transactions. Comfortable leading cross-disciplinary teams, he combines rigorous statistical methods from particle physics with production-grade ML to reduce false positives while preserving customer experience. An uncommon asset is his track record of turning physics-grade reconstruction techniques (like the HME likelihood method) into practical solutions for noisy, high-volume real-world data.
12 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Université libre de Bruxelles
Bachelor of Science (BS), Bachelor of Science (BS) at Sapienza Università di Roma
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