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About me

I am a Principal Applied Scientist in the AI & AGI Security team at Amazon, where I build secure foundations for AI systems. My work spanspost-quantum cryptography,AI security, andprivacy-enhancing technologies.

I co-authoredCRYSTALS-Kyber andCRYSTALS-Dilithium, the lattice-based schemes that NIST standardized asML-KEM andML-DSA, now replacing decades-old algorithms in TLS and Signal to protect billions of connections against quantum computers. My work onhomomorphic encryption, anonymous credentials, and differential privacy has been deployed at scale by Amazon, Google, and Apple.

Previously, I was a Principal Applied Scientist at AWS (2022–2025), where I led data protection and AI security in the Provable Security & Automation organization. Before that, I was a Cryptography Engineer at Apple (2021–2022) and a Research Scientist at Google (2018–2021), working on post-quantum cryptography, secure computation, anonymous credentials, and privacy-preserving analytics. Earlier, I worked on post-quantum cryptography and homomorphic encryption at SRI International (2016–2018) and CryptoExperts (2011–2016). I hold a Ph.D. from École Normale Supérieure and University of Luxembourg (Gilles Kahn Prize, 2014).

Selected work

Post-quantum cryptography

Quantum computers will eventually break the cryptographic algorithms that secure today’s internet. I have worked on designing, analyzing, and deploying their replacements.

AI security

I work on building secure and reliable AI systems, from private training with federated learning and secure aggregation to testing LLM-integrated applications.

Privacy-enhancing technologies

I design cryptographic systems that let organizations use sensitive data without exposing it—from private information retrieval and anonymous credentials to differential privacy and contact-tracing analytics. Several of these systems have been deployed at scale by Apple and Google.

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Professional Service