Federico Berto

KAIST. Daejeon, South Korea

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Hello world!

I am currently an AI Scientist at Radical Numerics, where I work on agentic AI for Recursive Improvement Systems Architectures and deep learning <-> kernel optimization, among other things.

I obtained my Ph.D. in the Industrial and Systems Engineering department at KAIST, where I was fortunate to be advised by Prof. Jinkyoo Park at the Systems Intelligence Laboratory (SILAB) .

My main research interests include decision-making and optimization in discrete and continuous spaces, including:

  • Neural Combinatorial Optimization (NCO)
  • Scientific Machine Learning (AI4Science)
  • Agentic AI workflows for optimization and discovery

I love to work on open-source projects. I recently co-founded the AI4CO open research group and collaborate with DiffEqML.

news

Jan 25, 2026 A paper (RRNCO) has been accepted at ICLR 2026 🇧🇷
Nov 08, 2025 Two papers (TrajEvo and USPR) got accepted at AAAI 2026!
Sep 18, 2025 PARCO has been accepted at NeurIPS 2025! See you in San Diego 🇺🇸
Sep 15, 2025 The RouteFinder paper has been published in TMLR!
Jul 01, 2025 I joined Radical Numerics ⠏⠆ as AI Scientist!
May 16, 2025 Our RL4CO benchmark got accepted as oral presentation at KDD 2025. See you in Toronto 🇨🇦
Apr 15, 2025 A paper got accepted at IEEE T-CPMT!