About me

I am Tristan Guérand, a Quantitative Researcher at Qube Research and Technologies in Singapore, working on High Frequency Signals since August 2025. Previously, I was a PhD Candidate at Nanyang Technological University under the supervision of Thomas Peyrin, where I studied cryptography and machine learning. My main interests include Explainable AI (XAI), Full Homomorphic Encryption (FHE) for Privacy Preserving Machine Learning (PPML) and Privacy in Machine Learning.

I graduated from Université Paris-Saclay - CentraleSupélec with a MEng in Applied Mathematics for Data Science in 2021.

I also hosted a podcast with my friend Lancelot Brun in french.

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Recent Publications

• Truth Table Net: Scalable, Compact & Verifiable Neural Networks with a Dual Convolutional Small Boolean Circuit Networks Form, accepted at IJCAI 24
  Adrien Benamira, Thomas Peyrin, Trevor Yap, Tristan Guérand, Bryan Hooi

• Neural Network-Based Rule Models With Truth Tables, accepted at ECAI 23
  Adrien Benamira, Tristan Guérand, Thomas Peyrin, Hans Soegeng

• TT-TFHE: a Torus Fully Homomorphic Encryption-Friendly Neural Network Architecture, TMLR
  Adrien Benamira, Tristan Guérand, Thomas Peyrin, Sayandeep Saha

• A New Interpretable Neural Network-Based Rule Model for Healthcare Decision Making, presented at IAIM23 (arxiv)
  Adrien Benamira, Tristan Guérand, Thomas Peyrin

For a complete list, see my Resume or Research interests.