Researcher working on how to assess, secure and govern AI systems, from enterprise vendors to frontier models, with a background in adversarial ML and industrial cybersecurity. I build practical tools and evidence-based frameworks that organisations and funders can use.
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🛡️ Frontier AI governance: third-party assurance, evaluations and incident reporting. Completed BlueDot Impact's Future of AI course.
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🧰 AI Assurance Toolkit: open-source toolkit for assessing third-party AI risk, with a draft frontier developer module
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🤖 AI Vendor Assurance Agent: an evidence-aware Copilot agent for vendor assessment with mandatory human approval, tested on contrasting scenarios
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🧠 Adversarial robustness: GAOR, a genetic algorithm-based method (Network, 2025)
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🏛️ Institutions and democracy: co-author of VTT's EnergyDAO white paper (2023) and a paper on direct democracy platforms (IARIA, 2023)
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🏭 Industrial cybersecurity: hands-on OT/ICS experimentation with simulated Modbus TCP processes
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🎓 PhD Computer Science (Information Security) · Former ERCIM Postdoctoral Fellow, VTT
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Member, NIST AI RMF working group, AI Governance Collective
