Gary Bécigneul_

Making AI safer

Beyond credit assignment over long horizons, today's main AI bottleneck is scaling runtime forks of safely sandboxed parallel environments.

• Senior AI Researcher, Cisco Systems focusing on scaling loops and RL environments, and teaching AI how to operate networks at the frontier of network safety at scale
• Open Source Contributor creator of k7, self-hosted infrastructure for lightweight VM sandboxes that safely execute untrusted code at scale, built on Kata, Firecracker, and Kubernetes — motivated by AI agents running arbitrary code. #1 on Show HN, featured in Console.dev —
• Lead AI Research / Engineering contractor Neural Fabric, Sciemo, LayerLens, YZR
• Applied ML Scientist, Thomson Reuters building LangGraph agents in the legal domain
• Co-founder, Gematria quant/fintech venture with Louis Abraham; signed an institutional asset manager as a client
• across NeurIPS, ICML, ICLR, AAAI, and AISTATS pioneered early work in geometric deep learning — hyperbolic embeddings, Riemannian optimization
• Massachusetts Institute of Technology drug discovery with graph neural networks, leveraging optimal transport and contrastive estimation — funded by DARPA & MLPDS, co-authored with Prof. Tommi Jaakkola, Prof. Regina Barzilay
• Max Planck Institute for Intelligent Systems COVID group testing methods leveraging belief propagation networks and genetic algorithms, co-authored with Prof. Bernhard Schölkopf, Alex Smola
• Max Planck Society Prize, 2020 youngest outstanding PhD across all subjects, 86 institutes
• PhD, Computer Science — ETH Zürich thesis: On the geometry of data representations; under Prof. Thomas Hofmann, examiners Prof. Gunnar Rätsch, Prof. Tommi Jaakkola, Prof. Regina Barzilay
• MASt (Part III), Pure Mathematics — University of Cambridge thesis on statistical applications of persistent homology; focused on advanced topics such as Morse theory and Schramm–Loewner evolutions
• Prix Fermat Junior — Mathematics, 2015 awarded once every 2 years in France, for contributions to mathematics made as an undergraduate