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Raghav Akula is a student at Georgetown University's School of Foreign Service majoring in Science, Tech, and International Affairs. Outside Georgetown, he worked on a project for ODNI and an economic statecraft and critical minerals project for MITRE, as well as for a global governance think tank and an AI startup for geoeconomic prediction.

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Rafael is a political scientist and economist with a career spanning central banking, diplomacy, research, and policy work. His work has focused on the governance challenges posed by AI diffusion, including contributing to the drafting of EU codes of practice for frontier AI models.

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Bruna is a lawyer with an LL.M. in Public International Law from Leiden University. She was most recently an AI Governance Fellow at Pivotal Research, where she worked on projects on semiconductor export controls evasion and Brazil’s role in AI governance. She previously worked at an international law firm focusing on sovereign litigation and has also held positions at the United Nations offices in New York and Geneva.

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Dave Banerjee is a summer fellow at the Centre for the Governance of AI, where he researches compute governance. Previously, he participated in ARENA 5.0, a 5-week ML alignment bootcamp, where he investigated whether self-perceived super intelligent LLMs exhibit misalignment. He was a research fellow in the SPAR program, where he researched how much it costs to hack an Nvidia H100.

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Josh Brause is a U.S. Government Deployment Strategist at Palantir Technologies. His previous experience includes serving as a Visiting Fellow at Taiwan’s Institute for National Defense and Security Research and co-founding PLATracker, an open-source platform providing analysis of security dynamics in East Asia. A graduate of Colby College, Josh has worked across the U.S., Israel, and Taiwan at the nexus of emerging technologies and foreign policy.

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Su Cizem is an AI Governance Analyst at the French Center for AI Safety (CeSIA), where she focuses on international cooperation and regulatory frameworks for advanced AI systems. She has contributed to the EU General-Purpose AI Code of Practice, co-authored a report on priorities for international cooperation in global AI governance, and is currently developing emergency preparedness protocols for frontier AI risks with potential for multilateral adoption.

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Andrea Fiegl brings 15+ years of cross-sector experience to questions of technology and governance. She has directed U.S. Government investments of more than $250M at USAID and advanced bipartisan foreign policy on the Senate Foreign Relations Committee. Her current policy work focuses on emerging technologies and democratic resilience, with a specific focus on AI governance. She has held fellowships with the National Endowment for Democracy, the Wilson Center, and IAPS. Trained in ethics and political philosophy, Andrea combines analytical rigor with practical expertise.

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Brendan Halstead is a MATS scholar with the AI Futures Project. He developed a growth model of AI capabilities progress to inform compute governance and international coordination proposals. His other work aims to determine conditions under which states might rationally pursue increasingly powerful AI for decisive military advantage, despite escalation or loss-of-control risks.

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Rebecca Hawkins brings cross-sector experience to AI governance challenges. She developed systems to help AI security researchers in the non-profit sector deliver quality work and receive $10M/year in philanthropic funding, consulted for Fortune 500 companies at Quantium on data-driven strategy, and published policy research with the Oxford Martin School.

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Before joining the IAPS Fellowship, Sven Herrman worked as Head of Research Operations of the Global Priorities Institute at Oxford University. Previously, he worked as a programme lead at a non-profit in the sustainability sector and as a management consultant. Sven also holds a PhD in mathematics and was a postdoc in mathematics and computational biology.

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Craig Jolley recently started an AI role at the World Bank and previously worked at the intersection of AI policy and international development at USAID. Before coming to the U.S. government, Craig worked as a researcher in physics and computational systems biology, so I’m also interested in the potential and limitations of AI-for-science and the role of AI in biodefense and biosecurity.

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Natasha Karner is a Research Associate at The Alan Turing Institute in the AI for Data-Driven Advantage (AIDA) defence policy workstream. Previously, Natasha was a scholar in the Organisation for Security and Co-operation in Europe (OSCE) and United Nations Office for Disarmament Affairs (UNODA) Arms Control Programme. She is a Junior Associate Fellow at NATO Defense College and a member of BASIC’s Emerging Voices Network for nuclear weapons policy.

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Maria Kostylew is a research manager at the ML Alignment & Theory Scholars (MATS) Program, where she is responsible for a mix of governance and evaluations streams and a Ph.D. student at the University of Oxford where she focuses on digital authoritarianism. She previously worked at the Centre for European Policy Studies, focusing on EU AI governance and digital democracy.

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Jackson Lopez is an International Strategy Fellow Institute for AI Policy and Strategy, specializing in U.S.-China AI competition and governance. He has been awarded fellowships for the Hudson Institute’s Political Studies Program and the Hertog Foundation’s Security Studies Program. His writing on foreign policy has appeared in the Washington Examiner and the Lowy Institute’s Interpreter.

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Hamish Low is a Summer Fellow at GovAI researching UK AI sovereignty and compute strategy. Previously a Research Analyst at Enders Analysis in London covering tech and telecoms, he authored reports on big tech strategies and AI industry dynamics. He holds an MA in International Political Economy from King's College London, where his research focused on China’s industrial policy in the semiconductor industry and the geopolitics of compute. He also has an MA in History & Politics from the University of Oxford.

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Yohan is an experienced technologist with a background in AI safety/governance research, ML/software engineering, and civic tech. His research areas include AI model evaluations, societal impacts of AI, and agent governance. Previously, he was a data science lead for a marketing firm, a co-founder/CTO for a GIS intelligence startup, and a tech lead at Oracle. He’s also an AI safety advisor to Tattle, an Indian civic tech organization, and was on the board of a policy advocacy nonprofit in Canada.

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Conor McGlynn is a PhD student in Public Policy at the Harvard University. His research focuses on international technology competition and the development of AI policy discourse. He was a 2020-2021 Schwarzman Fellow at the Kissinger Institute on US-China Relations in Washington D.C. and a 2019-2020 Schwarzman Scholar at Tsinghua University in Beijing. He holds degrees in philosophy and economics from the University of Cambridge and Trinity College Dublin.

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Oliver Ritchie is a UK policy expert focussed on safe, responsible growth from AI. Before IAPS, he worked with GovAI on frontier AI regulation and government engagement. His background is in the UK civil service, where he led the Treasury team advising the Chancellor on Covid-19 developments and advised on topics including tax reform, international negotiations, and anti-corruption. He has also served as Director of Special Projects at a foundation supporting academics at Oxford’s Global Priorities Institute.

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Dr. Brianna Rosen is Executive Director of the Oxford Programme for Cyber and Technology Policy at the Blavatnik School of Government, University of Oxford, and a Senior Fellow at Just Security. She leads research on securing AI systems, global security, and the governance of emerging technologies. She previously served for over a decade in the U.S. government, including at the White House National Security Council and Office of the Vice President.

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Aditya Singh is a PhD Candidate in Engineering Management at The George Washington University, where he is also a Fellow of the Co-Design of Trustworthy AI Systems program and an Affiliate of the National Science Foundation Institute for Trustworthy AI in Law & Society. His research is focused on the design and governance of human-AI systems to enable meaningful human control and effective collaboration.

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Zaina Siyed is a UC Berkeley graduate working in security governance for frontier technologies. Zaina’s past experience is in public interest cybersecurity work for at-risk civil society organizations at UC Berkeley’s Center for Long Term Cybersecurity and Security Governance, Risk & Compliance at a printed circuit board software company. Zaina currently works on Security Governance, Risk & Compliance at OpenAI.

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Niel Swanepoel is an AI policy analyst specializing in compute governance and U.S.–China relations. He is a Master’s in Foreign Service candidate at Georgetown and a summer research assistant at Harvard Law’s Berkman Klein Center, studying legal frameworks for AI agents and AI interpretability. Previously, he interned at CSET, tracking US AI legislation and Chinese science/tech developments.

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Matt Smith spent five years as a Senior PM in Microsoft’s Security Division, where he developed cybersecurity strategies for sovereign/national cloud environments and launched an employee group for AI safety advocacy. Matt holds a PhD from Nobel laureate David Baker’s lab and recently completed an AI advocacy fellowship at Successif.

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Lara Thurnherr is an AI governance researcher focused on the intersection of international strategy and security-transparency tradeoffs. Previously, she conducted independent research on AI-driven concentration of power, was a Visiting Fellow at the Centre for the Governance of AI and worked for the Royal United Services Institute, the Simon Institute for Longterm Governance, Pour Demain.

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Joshua Turner holds a BA in Computer Science and Mathematics from Grinnell College. He recently interned at CSIS, where he supported research on AI and national security while conducting an independent study on Chinese compute. Before CSIS, he worked at Brookings' Center for Technology Innovation, where he published on California AI regulation and US AI policy.

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Steven Veld studies computer science and math at the University of California, Los Angeles, where he has a background in machine learning research. His past work spans AI biosecurity, international compute governance, AI forecasting, and chain-of-thought monitoring in large language models.

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Mac Walker recently completed an MPhil in Biotechnology at the University of Cambridge, where he researched biological foundation models for drug discovery at the Milner Therapeutics Institute. He served on the Cambridge AI Safety Hub committee and has conducted technical AI safety research on model interpretability.