Alberto Luis is an applied cryptographer with 10 years of experience specializing in MPC, FHE, ZK, and threshold signature schemes, currently advancing privacy-preserving data science and ML at Arcium. He brings a rare blend of academic rigor (PhD-level research and multiple top-tier publications) and production-grade engineering, having shipped secure cryptographic implementations in Golang and integrated MPC frameworks for finance and biometrics. Comfortable across threat models from semi-honest to malicious, he has hands-on experience with audits and collaboration with both industry and academia. Trilingual in English, French and Spanish, he excels at translating complex research into practical, auditable systems. Based in Antibes, his background in data science and deep learning applied to FHE-enabled inference gives him a unique perspective on protecting models and data without sacrificing utility.
10 years of coding experience
8 years of employment as a software developer
PhD in Computer Science and Telecommunications Cryptography, PhD in Computer Science and Telecommunications Cryptography at Sorbonne Université
Elementary middle and high school -, Elementary middle and high school - at Colegio Nuestra Señora de las Maravillas
Diplôme D'Ingénieur (B.Sc. + M.Sc.) Data Science & Security, Diplôme D'Ingénieur (B.Sc. + M.Sc.) Data Science & Security at Télécom Paris
M.Sc. in Telecommunications Engineering, M.Sc. in Telecommunications Engineering at Universidad Politécnica de Madrid
PYthon For Homomorphic Encryption Libraries, perform encrypted computations such as sum, mult, scalar product or matrix multiplication in Python, with NumPy compatibility. Uses SEAL/PALISADE as backends, implemented using Cython.
Contributions:14 releases, 11 reviews, 389 commits in 5 years 7 months
Contributions:262 pushes, 11 branches in 4 years 6 months
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