I hold a PhD delivered by Ecole Polytechnique Fédérale de Lausanne (EPFL) in post-quantum code-based cryptography, a Master in Mathematics in number theory primarily oriented towards the study of the arithmetic properties of modular forms and the algorithmic aspects of computing isogenies between abelian varieties (which elliptic curves are a special case thereof in dimension $1$), and finally a Bachelor of Arts in Music.

As a software engineer, I have studied, developed, and maintained projects in the following languages:

• System: Python, C/C++, Java/Scala.
• Web: PHP/TypeScript, HTML/CSS/SCSS.
• Black magic: Make, Bash, PARI/GP, TeX/LaTeX.

I am currently a maintainer of the following FOSS projects:

• CPython
• Sphinx

I was a teaching assistant in C++ (from 2014 to 2022) and cryptography and security lectures (from 2019 to 2023) for undergraduate and graduate students at EPFL. I supervised and graded OpenGL and Qt projects as well as several post-quantum cryptography projects, primarily on lattices and linear codes. During that time, I designed an automated tool for grading programming assignments.

I also worked as a software engineer at a privacy-preserving company, where I designed a compiler in Scala for a custom DSL dedicated to secure multi-party computation (SMPC) and implemented its corresponding engine in C++. In parallel, I conducted research on machine learning and neural networks in the context of SMPC.

Since 2025, I am a software engineer at Macroscope, where I maintain the pipeline and internal tooling that power static-analysis-based code review in Python and C/C++.

• Bénédikt Tran: Post-Quantum Code-Based Cryptography. PhD Thesis, EPFL 2024. https://infoscience.epfl.ch/handle/20.500.14299/241269.

• Bénédikt Tran and Serge Vaudenay: Extractable Witness Encryption for the Homogeneous Linear Equation problem. In: International Workshop on Security (IWSEC) 2023. DOI: https://doi.org/10.1007/978-3-031-41326-1_9.

• Bénédikt Tran and Serge Vaudenay: A Gapless Post-quantum Hash Proof System in the Hamming Metric. In: Applied Cryptography and Network Security (ACNS) 2023. DOI: https://doi.org/10.1007/978-3-031-33488-7_25.

• Bénédikt Tran and Serge Vaudenay: Solving the Learning Parity with Noise Problem Using Quantum Algorithms. In: AFRICACRYPT 2022. DOI: https://doi.org/10.1007/978-3-031-17433-9_13.

• Bénédikt Tran: On the Rank of Random Binary Sub-Matrices and its Impact for Information Set Decoding Algorithms. Contributed Talk to CBCrypto 2024.