Alberto Luis

Cryptographer at Arcium

Antibes, Provence-Alpes-Côte d'Azur, France
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Summary

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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.
code10 years of coding experience
job8 years of employment as a software developer
bookPhD in Computer Science and Telecommunications Cryptography, PhD in Computer Science and Telecommunications Cryptography at Sorbonne Université
bookElementary middle and high school -, Elementary middle and high school - at Colegio Nuestra Señora de las Maravillas
bookDiplôme D'Ingénieur (B.Sc. + M.Sc.) Data Science & Security, Diplôme D'Ingénieur (B.Sc. + M.Sc.) Data Science & Security at Télécom Paris
bookM.Sc. in Telecommunications Engineering, M.Sc. in Telecommunications Engineering at Universidad Politécnica de Madrid
languagesSpanish, English, French
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Github Skills (72)

python10
fhe10
datasets10
seal10
cython10
encryption10
scalar10
matrix10
sum10
multiplication10
compatibility10
palisade10
matrix-multiplication10
cryptography10
homomorphic-encryption10

Programming languages (7)

TypeScriptC++RustRubyCythonPythonCuda

Github contributions (5)

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ibarrond/Pyfhel

Jun 2017 - Jan 2023

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
pythonmatrixfheencryptedcython
ibarrond/ibarrond.github.io

Apr 2018 - Oct 2022

Contributions:262 pushes, 11 branches in 4 years 6 months
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