I am a cryptography researcher and security engineer focused on turning formal security definitions into practical implementations with measurable trade-offs.
My research interests include structured encryption, searchable encryption, oblivious RAM, privacy-preserving storage, volume-hiding, encrypted multi-maps, and fully homomorphic encryption.
I have experience designing cryptographic constructions, performing formal security analysis, implementing C++ and Python prototypes, and benchmarking system performance across communication, storage, computation, latency, and metadata leakage dimensions.
I am currently pursuing a PhD in Computer Science at École Normale Supérieure Paris within the CASCADE team, in collaboration with Inria. My work focuses on resizable private storage and oblivious RAM.
I have contributed to peer-reviewed and preprint research published or accepted at venues including EUROCRYPT, SCN, PoPETs, and IACR ePrint. I also bring applied cryptography experience from research internships involving encrypted data structures and homomorphic-encryption-enabled IoT healthcare systems.
I develop cryptographic constructions for private storage systems whose database size can change over time. My work includes formal security analysis and evaluation of communication, storage, and computational trade-offs.
I co-authored "Resizable Oblivious RAM," accepted at EUROCRYPT 2026. I conduct research within the CASCADE team at ENS Paris and Inria.
I designed and implemented a C++ encrypted multi-map supporting low-leakage and subliminal modes. The work involved developing practical cryptographic data structures for privacy-preserving applications.
I combined Path ORAM with queueing-theoretic techniques to study latency behavior and metadata leakage. This work connected theoretical privacy guarantees with performance-oriented system analysis.
I researched searchable and structured encryption, with a focus on multi-server volume-hiding constructions. I implemented and benchmarked research schemes by extending the Clusion framework.
I analyzed probabilistic workloads and security-efficiency trade-offs. This research contributed to work accepted at SCN 2026 and published as IACR ePrint 2024/1708.
I integrated TFHE into an IoT healthcare activity-recognition system. I implemented encrypted-inference circuits to enable privacy-preserving computation over sensitive activity data.
I benchmarked optimization approaches for fully homomorphic encryption workflows, evaluating their practical performance for encrypted inference.
PhD, Computer Science, Cryptography
PhD candidate in Computer Science specializing in Cryptography. Member of the CASCADE team and co-advised by Brice Minaud and Tarik Moataz.
Engineering Degree, Computer Science
Engineering degree in Computer Science.
This professional hasn’t added portfolio projects yet.
This professional hasn’t listed any services yet.
