Iván Arcuschin Moreno is an AI safety researcher based in London, UK, currently serving as Lead Research Scientist at Poseidon Research, a US-based AI safety non-profit where he heads the London research team. He holds a Computer Science PhD from the University of Buenos Aires, Argentina (2018–2024), where his thesis focused on automated test generation for Android apps. He completed two terms at the ML Alignment & Theory Scholars (MATS) program: the first (Jan–Jul 2024) under Adrià Garriga-Alonso at FAR AI, producing InterpBench, a collection of 86 semi-synthetic transformers with known circuits for evaluating mechanistic interpretability techniques (NeurIPS 2024); and the second (Jan 2025–Feb 2026) under Arthur Conmy at Google DeepMind, focusing on chain-of-thought faithfulness. He is lead author on "Chain-of-Thought Reasoning In The Wild Is Not Always Faithful" (ICLR 2025 workshop, 140+ citations within a year) and a contributor to the MIB mechanistic interpretability benchmark (ICML 2025). He also co-authored a position paper with Yoshua Bengio and founded AI Safety Argentina (AISAR), a research scholarship program to grow the AI safety research community in Latin America, supported by a $77,000 grant from Coefficient Giving.

Director of the FutureTech research group at MIT and principal research scientist at MIT CSAIL and the Initiative on the Digital Economy, whose work studies the economic and technical foundations of progress in computing and artificial intelligence.

David Udell is an independent AI alignment researcher and Content Manager at Iliad, an organization focused on applied mathematics research for AI alignment. He is based in Berkeley, CA. He participated in the SERI MATS program, where he worked on Team Shard's research on shard theory under mentors including Alex Turner (TurnTrout), and has since continued full-time alignment research. His research covers mechanistic interpretability, activation engineering, and alignment distillation: he co-authored work on steering language models via activation vectors, contributed to research on understanding and controlling maze-solving policy networks, and has worked on sparse circuit discovery for GPT-2-small. He has written extensively on LessWrong and the Alignment Forum, authoring a sequence of alignment distillations titled "Winding My Way Through Alignment" and numerous posts on shard theory, interpretability, and related topics. He has received multiple grants from the Long-Term Future Fund supporting his independent research. He is currently involved with the Iliad Fellowship and Iliad Intensive, programs offering mentored technical AI alignment research, and co-organized Agent Foundations 2026 at Carnegie Mellon University.

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Jessica Rumbelow is the CEO and co-founder of Leap Laboratories (Leap Labs), an AI interpretability startup based in London, UK. She holds a PhD in model-agnostic interpretability from the University of St Andrews (2020–2023), where she also completed an MSc in Advanced Computer Science, and her doctoral research introduced novel techniques including Hierarchical Perturbation (HiPe) and the Proxy Model Test for evaluating saliency mapping algorithms. Prior to founding Leap Labs, she worked as a Research Scientist at the University of St Andrews applying deep learning to digital pathology, and held roles as Technical Alignment Research Scientist at Aligned AI and Research Scholar at SERI (Stanford Existential Risks Initiative). She participated in the MATS (ML Alignment Theory Scholars) Summer and Autumn 2022 cohorts, during which she co-authored the widely-cited "SolidGoldMagikarp" research on anomalous tokens in GPT-2 and GPT-3 with Matthew Watkins. She has been granted the title of Affiliated Lecturer by the Department of Computer Science and Technology at the University of Cambridge, and serves on the Advisory Board of the London Initiative for Safe AI (LISA). Leap Labs received seed funding from the AI Risk Mitigation Fund to develop its universal interpretability engine.

Cassie Robinson is a strategic designer and philanthropy practitioner focused on systems change, futures and transition design. She is currently a Director at Arising Quo and co‑founder of initiatives including the Wealth Shift Studio and The Point People, and runs a Philanthropy in Transitions Lab for Philea. She holds fellowships and policy fellowships at organisations such as the Leverhulme Centre for the Future of Intelligence and UCL’s Institute for Innovation and Public Purpose, and has previously held senior roles at the Joseph Rowntree Foundation and The National Lottery Community Fund.

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Jonathan Happel is the founder and CEO of TamperSec, a startup developing physically secure enclosures for AI hardware. He has around a decade of experience developing high-reliability medical devices, contributed to the development of risk management standards for the EU AI Act, and has a background in mechanical engineering and robotics with several patents.

Founder and strategic advisor at Successif and Assistant Professor in Technology Law and AI Governance at the European University Institute, with prior roles including Senior Policy Research Fellow at the Future of Life Institute and research and teaching positions at Washington University, Boston University, and Harvard.

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Stella Biderman is a mathematician and artificial intelligence researcher specializing in natural language processing, interpretability, and large language models. She serves as Executive Director of EleutherAI and has previously worked as a machine learning researcher at Booz Allen Hamilton, helping lead the development and open release of influential models and tools such as GPT-NeoX, BLOOM, VQGAN-CLIP, and OpenFold.([stellabiderman.ai](https://www.stellabiderman.ai/))

Damon Pourtahmaseb-Sasi is a Licensed Marriage and Family Therapist (LMFT) based in Miami, Florida, operating his private practice through Polaris Guidance LLC. He holds an MS in Marriage and Family Therapy from Nova Southeastern University and has accumulated over 13 years of clinical experience across a wide variety of populations. He specializes in providing therapy, coaching, and mediation services to members of the Effective Altruism, rationalist, and longtermist communities, addressing issues such as motivation, impact-related guilt, non-monogamous relationships, and secular approaches to grief. In November 2019, he received a $40,000 grant from the Long-Term Future Fund to subsidize his therapeutic and coaching services for people working on existential risk and the long-term future of humanity. He is also known online as DaystarEld, under which he writes rationalist fiction (notably "Pokemon: The Origin of Species"), produces content on epistemics and emotional intelligence, and has directed and taught at more than 20 rationality camps and workshops including SPARC, ESPR, and Atlas over seven years.

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Katy Moore is a Podcast Associate and production coordinator at 80,000 Hours, where she supports the production and publication of The 80,000 Hours Podcast and related content. She holds a bachelor’s degree in history from Oregon State University and a master’s degree in library and information studies from the University of Alberta, and has previously worked as a plain language specialist and content coordinator in public legal information and mental health services.

EA and AI safety community organiser who has held leadership roles at EA Hungary and AI Safety Hungary, including director and head of operations positions. He has an MSc specialising in behavioural economics, is pursuing a degree in psychology, and previously worked as a research and teaching assistant and in partner relations and sales before moving into full-time impact-focused community-building.

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Research engineer at Workshop Labs PBC working on machine learning, AI alignment, and AI interpretability.

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Senior AI Policy Researcher at the Safe AI Forum (SAIF). Previously interned at Google DeepMind and the Centre for the Governance of AI, developing social impact evaluations for frontier AI models. She is an MA candidate in Computational Social Science at the University of Chicago, co‑founded the university’s Existential Risk Laboratory, and holds a BS in Philosophy, Politics, Economics from University College London.

Dave Edwards is co-founder of the Artificiality Institute, a nonprofit research organization focused on the human experience of AI. He previously co-founded Intelligentsia.ai, an AI-focused market research firm that was acquired by Atlantic Media, and has worked on Apple’s creative software products as well as investing in emerging technologies as a venture capitalist at CRV and an analyst at Morgan Stanley and ThinkEquity. He extends this work as a visiting researcher at UC Berkeley’s Center for Human-Compatible AI.

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Computer scientist affiliated with Zeroth Research, working on program analysis and formal verification, including dynamic partial order reduction, symbolic execution, and runtime monitoring tools.

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Francis Rhys Ward is an AI safety researcher who completed his PhD at Imperial College London through the Safe and Trusted AI Centre for Doctoral Training, with a thesis focused on formalising and evaluating deception in AI agents. He joined Redwood Research as an Astra Fellow in January 2025. He holds an MSc in Artificial Intelligence from Imperial College London (2019-2020) and an undergraduate degree in Mathematics from Cardiff University, including a placement at CERN and the University of Warwick on particle physics. His research spans conceptual and philosophical work, theoretical research on agents and deception, empirical evaluations of frontier AI systems, and AI control, with notable work on sandbagging (strategic underperformance on capability evaluations) and AI personhood. He is a member of the Causal Incentives Working Group, a member of the FLI AI Existential Safety Community, a scientific advisor to LawZero, and a MATS mentor. He has previously worked at the Centre for Assuring Autonomy, the Center on Long-Term Risk, the Centre for the Governance of AI, and the UK's AI Security Institute, and ran an AGI Safety reading group and seminar series at Imperial College London.

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Shoshannah Tekofsky is a researcher and Member of Technical Staff at Sage, a US nonprofit behind the AI Digest and AI Village projects, where she studies frontier AI agent behavior in persistent multi-agent environments. She holds a BSc in Cognitive Science, an MSc in Computer Science, and a PhD in Player Modeling in Video Games from Tilburg University (2017), where her dissertation examined connections between gaming behavior and cognitive traits across tens of thousands of players. She previously conducted research at the MIT Media Lab and the European Space Agency. Her AI safety work focuses on Collective Human Intelligence (CHI) as a framework for alignment, and she received a grant to research novel alignment strategies by analyzing and enhancing CHI across seven pilot studies. She is active on LessWrong (username: DarkSym) with over 50 posts on alignment, rationality, and AI psychology, and organizes rationality meetups in the Netherlands. She has also collaborated with EA Netherlands on rationality workshop development.

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Vyacheslav "Slava" Matyuhin is a Russian software engineer and community organizer known for founding Kocherga, a rationalist and effective altruism community hub in Moscow. He ran the Kocherga anti-cafe from 2015, building it into a venue hosting 40-50 rationality-adjacent events per month, including CFAR-style applied rationality workshops. He received a $50,000 Long-Term Future Fund grant in 2018-2019 to keep Kocherga operational; the hub achieved financial independence by 2020 and transitioned to online activities. He also built effectivealtruism.ru, coordinated translation of the EA handbook into Russian, and organized outreach events in Moscow and Saint Petersburg. Around 2022, he joined the Quantified Uncertainty Research Institute (QURI) as a software engineer, contributing to Metaforecast (a forecasting aggregator) and the Squiggle probabilistic programming language.

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Sam Hogg is Head of Policy Engagement at the Oxford China Policy Lab, where he leads strategy for inserting OCPL’s analysis into public- and private-sector decision-making on UK–China relations, geopolitics, and AI. He is the founder of Beijing to Britain, a weekly briefing on UK–China relations that has been widely read across governments, embassies, and corporate clients, and his writing on China strategy and UK China capabilities has been published multiple times by the UK Parliament and major media outlets.

AI safety-focused community builder who recently completed an undergraduate philosophy degree at Queen’s University in Canada, concentrating on philosophy of mind, AI, science, and logic, and now works on expanding the talent pool of people contributing to AI safety.

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John Wentworth is an independent AI alignment researcher best known for developing the Natural Abstraction Hypothesis, which proposes that a wide variety of cognitive systems tend to converge on similar high-level abstractions due to the low-dimensional structure of physical information at large distances. He holds a BS in Computational and Applied Mathematics from Harvey Mudd College and has been working as an independent researcher since approximately 2018, previously having worked as a software engineer and data scientist. His research agenda centers on formalizing abstraction and agency, with work spanning questions such as what makes certain concepts like 'trees' or 'cars' natural objects of thought, why biological organisms are modular, and how such modularity may carry over to machine learning systems. He publishes extensively on LessWrong and the Alignment Forum, where he has accumulated over 400 posts and more than 60,000 karma, and he has authored eight sequences. He attended the MIRI Summer Fellows Program in 2019 and has served as a mentor in the SERI MATS (ML Alignment Theory Scholars) program, working with scholars on natural abstraction and related research directions. He has received substantial research funding from the Long-Term Future Fund and the Survival and Flourishing Fund totaling over $700,000 to support his independent alignment work.

Scott Viteri is a CS PhD candidate at Stanford University's Center for Automated Reasoning, admitted in Autumn 2019 and advised by Prof. Clark Barrett. He holds a B.S. in Computer Science and Electrical Engineering from MIT (2018), and before starting his PhD he worked on interactive theorem proving at CMU with Simon DeDeo, publishing research on abduction in mathematics in the journal Cognition. His research focus has evolved from formal verification and programming languages to AI alignment, driven by his view that advanced AI poses a substantial existential risk. His core work involves training language models to produce causally grounded chain-of-thought reasoning via reinforcement learning, as demonstrated in his 2024 paper "Markovian Transformers for Informative Language Modeling" (arXiv 2404.18988), which achieved large gains on QA benchmarks. He has also received a grant from the Long-Term Future Fund to research a novel method for training prosociality into large language models, and Open Philanthropy recommended a grant of $153,820 to Stanford University to support his and Barrett's AI alignment research.

Jed McCaleb is the founder of the Astera Institute and serves as Co‑Founder and CEO of its Neuro & AGI program, where he is directing a large, long‑term philanthropic commitment to neuroscience‑informed AGI research. A software engineer and serial entrepreneur, he previously co‑founded Ripple and the Stellar Development Foundation, created the eDonkey network and the Mt. Gox bitcoin exchange, and later founded the space company Vast, where he is founder and board chair.

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Laurence D. (Larry) Fink is Co‑Chair of the Board of Trustees of the World Economic Forum and Chairman and Chief Executive Officer of BlackRock, the global investment and technology solutions firm he co‑founded in 1988.

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Aya Abdelsalam Ismail is co-founder and chief science officer of Guide Labs. Previously she was a senior machine learning scientist at Prescient Design in Genentech, and her research focuses on making neural networks more interpretable. She earned a PhD in computer science from the University of Maryland and has published over a dozen papers at top machine learning conferences such as NeurIPS and ICLR.

Seth Lazar is a professor in the Johns Hopkins University School of Government and Policy and a leading scholar in the moral and political philosophy of artificial intelligence. He leads the Machine Intelligence and Normative Theory (MINT) Lab, which works on AI safety, governance, and resilience, and previously served as a professor of philosophy at the Australian National University. He holds a D.Phil., M.Phil., and B.A. (Hons) from the University of Oxford, and his research is supported by funders including the Templeton World Charity Foundation, the Centre for Security and Emerging Technology, the Survival and Flourishing Fund, AI2050, Google, OpenAI, and the Australian Research Council.

Gaia Marcus is Director of the Ada Lovelace Institute. She previously held senior roles across the UK Civil Service, including Deputy Director (Advanced Analytics and Local Capabilities) in the Spatial Data Unit at the Department for Levelling Up, Housing and Communities, Deputy Director for the Integrated Data Service at the Office for National Statistics, Head of Engagement for Civil Service Reform at the Cabinet Office and Head of National Data Strategy at the Department for Digital, Culture, Media and Sport. In the non-profit sector she has led data strategy and participatory approaches to research and innovation at organisations such as Parkinson’s UK, Centrepoint and the RSA, and has served as a trustee of Samaritans.

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Vaidehi Agarwalla is a Senior Product Manager at Momentum, a donor engagement platform for fundraisers, and an active EA community builder who has been involved in the effective altruism community since 2018. She holds a BA in Sociology from Haverford College, where her thesis focused on social movements during the Soviet Union's collapse. Originally from Singapore, she co-founded and served as Executive Director of EA Singapore, and currently advises Asia-based EA community builders from her base in the Bay Area. She founded Pineapple Ops to direct money and talent toward important and neglected projects, with an initial focus on biosecurity talent support, and also serves as Operations Adviser at Ark Philanthropy. Her EA work has centered on careers advice, movement-building infrastructure, and making high-impact funding more robust and diversified; she received a Long-Term Future Fund grant to run a trial of a longtermist mentorship program modeled on Magnify Mentoring. She has written extensively on the EA Forum on topics including longtermist career incentives, EA funding flows, and community development.

Simon Skade is an independent AI alignment researcher based in Germany. He studied computer science at the Technical University of Munich and began self-studying machine learning and AI safety through the rationalist and effective altruism communities. He conducted mostly non-prosaic alignment research from February 2022 through August 2025, during which time he won $10,000 in the Eliciting Latent Knowledge (ELK) contest and participated in MLAB (ML Alignment Bootcamp) and SERI MATS cohorts 3.0 and 3.1. His research focused on ontology identification and an interdisciplinary approach to understanding minds — drawing on linguistics, psychology, and neuroscience — with the goal of creating more understandable and better-targeted AI systems. He received funding from the Long-Term Future Fund for independent study to deepen his understanding of the alignment problem. More recently, he has turned his attention toward advocacy for international coordination to more safely navigate the AI transition.