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General Information

Full Name Samuele Marro
Languages Italian (native), English (fluent), French (beginner)

Education

  • 2024 - 2028
    DPhil in Autonomous Intelligent Machines and Systems
    University of Oxford
    • 4-year DPhil at the Oxford AIMS CDT under Prof. Philip Torr on multi-agent LLMs.
    • Funded by a 250k USD Microsoft studentship.
  • 2022 - 2024
    MSc Artificial Intelligence
    University of Bologna
    • GPA: 29.75/30, top of the class (170 students). Graduation grade: 110 cum laude.
  • 2019 - 2024
    Excellency Degree
    Superior College of Bologna (Institute of Superior Studies)
    • 7 STEM students are admitted each year and are provided with a personal tutor, exemption from tuition fees, free accommodation and an annual scholarship throughout their Bachelor's and Master's degrees.
    • Yearly requirements: 28/30 GPA, no grade lower than 24/30, must take 6 additional excellency courses.
    • GPA: 29.88/30
  • 2019 - 2022
    BSc Computer Science
    University of Bologna
    • GPA: 29.77/30, top of the class (150 students). Graduation grade: 110 cum laude.

Selected Publications

  • 2026
    • Samuele Marro, Jialin Yu, Emanuele La Malfa, et al., Benchmarking at the Edge of Comprehension. ICML 2026 Oral.
  • 2025
    • Emanuele La Malfa, Gabriele La Malfa, Samuele Marro, et al., Large Language Models Miss the Multi-Agent Mark. NeurIPS 2025 Oral.
  • 2025
    • Samuele Marro, Emanuele La Malfa, Jesse Wright, Guohao Li, Nigel Shadbolt, Michael Wooldridge, Philip Torr, A Scalable Communication Protocol for Networks of Large Language Models.
  • 2025
    • Tobin South, Samuele Marro, Thomas Hardjono, Robert Mahari, Cedric Deslandes Whitney, Dazza Greenwood, Alan Chan, Alex Pentland, Authenticated Delegation and Authorized AI Agents. ICML 2025 Oral.
  • 2025
    • Samuele Marro, Davide Evangelista, Angelo Huang, Emanuele La Malfa, Michele Lombardi, Michael Wooldridge. Language Models Are Implicitly Continuous. ICLR 2025.
  • 2023
    • Samuele Marro, Michele Lombardi. Computational Asymmetries in Robust Classification. ICML 2023

Selected Experience

  • 2025 - Present
    Head
    Institute for Decentralized AI
    • Research institute focused on security and infrastructure for decentralized and distributed AI systems.
    • Two main units: Oxford and Stanford.
    • Funded by a 500k USD grant jointly funded by Google, Anthropic, Microsoft, and OpenAI.
  • 2026
    PhD Research Intern
    Microsoft
    • PhD internship in Microsoft's Agents Team of the Applied Sciences Group.
    • Main focus on developing efficient local agents.
  • 2025 - Present
    Fellow
    Cosmos Institute
    • Research fellow on the intersection of AI, philosophy, and decentralization.
    • Building stable non-governmental institutions to steer AI towards a less authoritarian future.
  • 2023 - 2024
    Predoctoral Research Fellow
    University of Bologna
    • Department fellowship on adversarial robustness under prof. Michele Lombardi.
  • 2024
    Visitor
    Oxford University
    • Research visit to the Department of Computer Science to conduct research on the Theory of Mind of LLMs under Dr. Emanuele La Malfa and Prof. Michael Wooldridge.
  • 2019 - 2023
    Student Researcher
    University of Bologna
    • Developed, under prof. Michele Lombardi and Michela Milano, an adversarial defense (implemented in Python + PyTorch) which is robust against white-box attacks.
    • Wrote a Julia interface to formally verify the effectiveness of the defense using MIPVerify.jl + Gurobi.
    • Proved that training a robust ReLU model is Sigma2P-hard, with implications for adversarial defense design.
    • Obtained a 170k core-hour grant for the CINECA supercomputer cluster.
  • 2022 - 2023
    Teaching Assistant
    University of Bologna
    • Taught the applied ML module of "Introduction to Machine Learning" for the Fall '22 semester.
    • Performed research on the latent space of diffusion models under prof. Andrea Asperti.
  • 2021 - 2022
    Research Intern
    MindIt Srl + Kantar
    • Developed a Tensorflow LSTM implementation compatible with IBM CPLEX optimization algorithms.
    • Introduced tools to mitigate numerical issues with non-linear components of LSTMs.
    • Rewrote Meta's FBProphet time series model in Tensorflow.

Selected Awards

  • 2025
    AI Safety Fund Grant, 500k USD
    • Grant by the AI Safety Fund, jointly funded by Google, Anthropic, Microsoft, and OpenAI, on decentralized oversight of agent networks.
  • 2025
    Cosmos Institution Building Fellowship
    • Fellowship by the Cosmos Institute to build new institutions for decentralized AI.
  • 2024
    Microsoft Studentship, 250k USD
    • Studentship for research into communication protocols between LLMs and multimodal memory in generative models.
  • 2021
    CINECA HPC Grant
    • Grant for the Galileo100 HPC cluster for research on the computational complexity of adversarial attacks.

Other Publications

  • 2026
    • Samuele Marro, Alan Chan, Xinxing Ren, et al., Permission Manifests for Web Agents. Under review at FAccT 2026.
  • 2024
    • X Angelo Huang, Emanuele La Malfa, Samuele Marro, et al., A notion of complexity for theory of mind via discrete world models. EMNLP 2024.
  • 2023
    • Andrea Asperti, Davide Evangelista, Samuele Marro, et al., Image embedding for denoising generative models. Artificial Intelligence Review.

Talks

  • 2025
    Decentralized Oversight of Agent Networks
    • Presented at the ERA Technical AI Governance Forum.
  • 2025
    Agora: A Scalable Protocol for Decentralized Agent Communication
    • Presented at Microsoft Ltd (2024) and Camel AI (2025).
  • 2025
    The Case for Decentralized Intelligence
    • Presented at the Oxford Maths Institute.
  • 2023
    Computational Asymmetries in Robust Classification
    • Leonardo Lesmo Award talk at AIxIA 2023.
  • Practical Machine Learning
  • 2023
    • Presented at the University of Bologna Algo-UniBo organization.

Other Experience

  • 2022 - Present
    Solidity Developer and Auditor
    Freelance
    • Performed Smart Contract audits, Web3 integrations and secure Smart Contract development.
    • Specialized in EVM and EVM-like (e.g. Vite) security standards.
  • 2019
    Tutor
    Liceo Scientifico L. Cocito, Alba (Italy)
    • Provided one-on-one and one-on-two tutorship for students struggling with Mathematics and Physics.
  • 2017 - 2018
    Independent Research
    • Extended Grammatical Evolution's Backus-Naur Forms to support runtime checks and automatic correction of invalid production rules.
    • Implemented this variant of Grammatical Evolution in C# and Python.
  • 2017
    Intern
    Sistemi Tre, Alba (Italy)
    • Automated database queries through the in-house software interface using AHK, leading to a 3-4x increase in data retrieval speed.
    • Assisted IT staff during on-site technical support.

Other Awards

  • 2025
    ARIA Exploration Grant, 20k GBP
    • Exploratory grant on automated protocol design as a path to full cybersecurity resilience.
    • Part of the "Trust Everything Everywhere" research area.
  • 2023
    AIxIA "Leonardo Lesmo" Award
    • Award for the best MSc thesis in AI in Italy, granted by the Italian Association for Artificial Intelligence.
  • 2022
    Gitcoin Round 13 Hackathon, 6k USD bounty
    • Wrote four smart contracts in Soliditypp for the Vite blockchain.
    • Wrote unit tests for such contracts using Vuilder and Javascript.
  • 2021
    GreenNFT Hackathon, 3k USD bounty
    • Created a model to estimate the environmental impact of individual transactions on Ethereum.
    • Identified techniques to reduce a user's individual impact by 70% with the help of Python scripts.
    • Developed Green NFT Helper, a JavaScript + Svelte.js website to help users to reduce their emissions.
  • 2021
    Gitcoin Round 9 Hackathon, 1k USD bounty
    • Developed a Chrome extension in JavaScript to search on IPFS directly from the omnibox.
  • 2018 - 2019
    Ancalau Award, 3k EUR award
    • Trained in Python + Tensorflow a CNN to identify illegal dumping locations from aerial data.
    • Deployed the model as part of an Android app (written in Java) to capture aerial data and relay landfill locations in real time to a quadcopter.

Affiliations

  • 2026 - Present
    Mentor
    Cambridge ERA Fellowship
    • Mentoring fellows on applications of multi-agent security techniques to AI safety.
  • 2025 - Present
    Chair
    Lightweight Agent Standards Working Group
    • Industry-academia joint working group focused on standards for agent interactions.
    • Notable organizations: Oxford University, Stanford University, MIT, Firecrawl.
  • 2023 - 2025
    Head
    Computer Science Student Commission, Superior College of Bologna (ISS)
    • Supervised CS student projects and advised students on CS and ML-related research directions.
  • 2022 - 2025
    Representative
    CS Department, University of Bologna
    • Managed student-department relations and represented student interests in department meetings.

Academic Interests

  • Agent Communication and Collaboration
  • Decentralized AI
  • Multi-Agent Safety