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Alex Cloud is a researcher at Anthropic whose work focuses on interpretability and agent foundations. His research includes methods such as gradient routing to localize learning updates and distillation-based approaches to robust unlearning, and he previously conducted applied reinforcement learning research at Riot Games AI and Amazon before completing a PhD in statistics at North Carolina State University.
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Chief of Staff at Atlas Computing and an AGI preparedness field-builder who has founded and scaled AI safety communities and research groups across multiple regions, working to build the global ecosystem needed to keep advanced AI safe and aligned.
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Henry Papadatos is Executive Director of SaferAI, where he works on key aspects of the organisation’s work ranging from risk-management ratings and AI benchmark research to risk management and internal operations. He is a technical AI risk management expert focused on closing the gap between rapid AI advancement and society’s ability to manage associated risks, and previously conducted research on large-language-model alignment at the Center for Human-Compatible AI at UC Berkeley. In his role at SaferAI he develops AI governance strategies and technical solutions for managing risks from frontier AI systems.
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Researcher in developmental robotics and interactive reinforcement learning who obtained bachelor’s and master’s degrees from the University of Santiago, Chile, and a PhD from the University of Hamburg, and who collaborates with ARAAC, including through a lab at UNSW.
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Executive Director of the Berkeley Existential Risk Initiative (BERI). She joined BERI in February 2023 to support operations and grow new collaborations, moved into the executive director role in November 2024, previously worked as a Chief of Staff at tech startups including Corvid Technologies, and holds a B.A. in Economics and Peace, War, and Defense from the University of North Carolina.
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Co-founder and Partnerships Lead at Impact Academy, with experience establishing teams that design and deliver high-quality educational programs such as Future Academy v2 (India edition), and working as an executive coach for entrepreneurs and other impact-driven individuals.
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Güven Sak is a Turkish economist who founded and leads the Economic Policy Research Foundation of Turkey (TEPAV) and is a professor of public economics at TOBB University of Economics and Technology, while also serving as a councillor with CIGI’s World Refugee Council.
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Wesley Fenza is a family attorney and mediator based in Collingswood, New Jersey, where he operates Fenza Legal Services, a family law practice serving South Jersey and the Philadelphia area since 2015. He earned his J.D. from Temple University's Beasley School of Law, where he served on the Temple Law Review and the Moot Court Honor Society, and holds an undergraduate degree in Business Administration. Outside his legal practice, Fenza is an active organizer in the Philadelphia rationalist and ACX (Astral Codex Ten) community, hosting regular meetups at the Philadelphia Ethical Society and receiving a $5,000 ACX grant to fund one year of meetup operations. He hosts The Mind Killer, a podcast applying rationalist thinking to politics and current events, co-hosted with Eneasz Brodski and David Spearman, and writes Living Within Reason, a Substack newsletter covering rationality, nonmonogamy, and related topics.
Gopal Sarma is a researcher in critical and emerging technologies at RAND, where he focuses on technical foundations for governing advanced AI systems, cybersecurity and biosecurity countermeasures, and the convergence of life sciences and artificial intelligence. He holds an AB in mathematics from Harvard University, a PhD in applied physics from Stanford University, and an MD from Emory University School of Medicine. He previously served as Assistant Director for Artificial Intelligence and Biosecurity at the White House Office of Science and Technology Policy, where he led policy development at the intersection of AI and national security, and before that as a Program Manager at DARPA's Biological Technologies Office overseeing research in bioelectronics, human performance, and biosecurity. Earlier in his career he was a full-time scientific advisor on the leadership team of the Models, Inference, and Algorithms Initiative at the Broad Institute of MIT and Harvard, and also worked as a software engineer at Wolfram Research and as a Senior Contributor to the OpenWorm Foundation. His connection to AI safety work includes organizing the Formal Methods for the Informal Engineer (FMIE) workshop at the Broad Institute in 2021, supported by a grant from the Long-Term Future Fund, which explored formal verification and verified software techniques as tools for safety-critical software in biomedicine and AI.
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Tegan McCaslin is a generalist researcher working at the intersection of AI forecasting, AI strategy, and AI governance. She began her research career at AI Impacts in 2018, where she studied neuroscience topics relevant to AI timelines, including brain architecture and neuron counts across species. She received multiple Long-Term Future Fund grants (2019, and subsequently) to pursue independent research into AI forecasting and strategy questions, exploring topics such as whether AI capability development parallels biological evolution and the tractability of long-term forecasting. She went on to join the Forecasting Research Institute (FRI) as a core founding team member alongside Phil Tetlock, focusing on improving the quality and decision-relevance of forecasting questions and the challenges of forecasting on long timescales. She co-authored FRI's report on Conditional Trees as a method for generating informative AI risk forecasting questions, and served as a mentor for the Epoch and FRI mentorship program for women and non-binary people interested in AI forecasting. More recently, she has expanded into AI governance work, contributing to the STREAM (ChemBio) framework at the Centre for the Governance of AI (GovAI), a standard for transparently reporting AI model evaluations of chemical and biological capabilities.
Assistant Professor of Law at the University of Houston whose research investigates how law and legal institutions can reduce catastrophic and existential risks from advanced AI systems; he also serves as executive co-director of the Center for Law & AI Risk, law and policy advisor to the Center for AI Safety, visiting senior fellow at the Institute for Law & AI, senior visiting scholar at Forethought, and contributing editor at Lawfare.
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Director Partnerships & Philanthropy USA for ETH Zurich Foundation USA, serving as the primary contact for U.S.-based donors and partners.
Serial tech entrepreneur and Founding Partner at Fifty Years. She previously founded the software company Applicake, co-founded Base (later acquired by Zendesk), organized large developer events in Europe, became a partner at VC fund Innovation Nest, and is a Y Combinator alum who moved to the U.S. in 2014.
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Leadership coach and Program Manager for RAISEimpact, supporting people tackling pressing global challenges. Previously led software development teams at major tech companies including Amazon and Bloomberg for over a decade, and now coaches Effective Altruist managers and founders on leadership, people management, and building high-performing teams.
Zenna Tavares is a co-founder and director of Basis Research Institute, where he leads work on universal reasoning systems and causal probabilistic programming. His research focuses on how humans derive knowledge from observing and interacting with the world, and on building computational and statistical tools for causal reasoning, probabilistic programming, and scientific model discovery. He previously served as the inaugural Alan Kanzer Innovation Scholar at Columbia University’s Zuckerman Institute and Data Science Institute, completed a postdoctoral fellowship at MIT CSAIL in Joshua Tenenbaum’s group, and holds a PhD in Cognitive Science and Statistics from MIT.
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Timur Burkhanov is a Research Assistant at the Odyssean Institute with a background in cybersecurity and an interest in complex civilisational problems and conflict dynamics, particularly in the MENA and Eurasia regions. He holds an MSc in cybersecurity from Ufa State Aviation Technical University and has applied machine-learning and data-science techniques to social-impact projects, including Omdena initiatives on psychometric assessment of soft skills from meeting recordings and a chatbot to support interview preparation.
Jasper Jackson is managing editor at Transformer, overseeing day-to-day operations and editing work from staff and freelance contributors. He was previously tech editor at the Bureau of Investigative Journalism, digital editor at the New Statesman and assistant media editor at The Guardian.
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Aleksandar (Alex) Makelov is a researcher at OpenAI working on mechanistic interpretability of large language models. He earned his PhD in Computer Science from MIT, where he was advised by Prof. Aleksander Madry, and prior to that completed Part III of the Mathematical Tripos at Cambridge University and a BA in mathematics and computer science from Harvard College. His research spans mechanistic interpretability, sparse autoencoders, adversarial robustness, and data poisoning, with papers published at ICLR 2024, ICLR 2025, and ICML 2024. He is known for work on interpretability illusions in subspace activation patching and for developing principled evaluation frameworks for sparse autoencoders. He is a SERI MATS alumnus who worked with Neel Nanda on interpretability research, subsequently joined Guide Labs, and then joined OpenAI where he co-authored work on persona features and emergent misalignment.
