Independent researcher focused on building knowledge-infrastructure tools for the effective altruism and AI safety communities, including Timelines Wiki and AI Watch. His work emphasizes data aggregation and creating utilitarian reference material rather than original AI safety research.

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Program Manager at ILINA, responsible for day‑to‑day operations, and an Operations Assistant at the Berkeley Existential Risk Initiative (BERI); she holds an undergraduate law degree from Strathmore University.

Lucas is the Senior Partnerships Manager at Giving What We Can, where he develops and manages partnerships with organisations that share GWWC’s vision of making effective and significant giving a cultural norm and helps coordinate the broader effective giving ecosystem, including the incubation of new effective giving initiatives.

Bob Lord is a cybersecurity executive and public‑interest technologist who has led major Secure by Design initiatives at the Institute for Security and Technology and at CISA, and previously held senior security roles at organizations including the Democratic National Committee, Yahoo, Twitter, Red Hat, and Rapid7.

Jack Gallagher has worked as a researcher in type theory and decision theory at the Machine Intelligence Research Institute.

Peyton Hornberger is the communications director at The Alliance for Secure AI, where she drives national strategy to ensure artificial intelligence develops within guardrails that protect U.S. security and democratic values.

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Aanya F. Niaz is the Global Education Equity Leader at Amazon Web Services, where she leads a US$100 million commitment of cloud and AI technology to organisations building learning solutions for underserved learners worldwide. She is a PhD candidate at the University of Cambridge Faculty of Education and a Student Fellow at the Leverhulme Centre for the Future of Intelligence, researching how AI shapes learning, voice and flourishing for underserved communities, and is the founder of The Maple Group, a global network of education leaders bridging research and practice.

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Chief Scientist at the UK AI Security Institute; previously led the Scalable Alignment Team at DeepMind and the Reflection Team at OpenAI, and worked on neural network theorem proving at Google Brain and computational physics and geometry at organisations including Otherlab, D. E. Shaw Research, Pixar and Weta Digital.

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Émélie Brunet is Vice‑President of Talent and Ecosystem at Mila – Quebec Artificial Intelligence Institute, where she oversees talent management, communications, events programming, and the creation of collaborative spaces that connect Mila’s scientific community, industry partners, and the public.

Professor of Data Science and Computer Science at Brown University and Director of the Center for Technological Responsibility, Reimagination, and Redesign (CNTR), whose research focuses on algorithmic fairness and the impact of automated decision-making systems in society; previously the John and Marva Warnock Assistant Professor at the University of Utah and 2021–2022 Assistant Director for Science and Justice in the White House Office of Science and Technology Policy, where he helped co-author the Blueprint for an AI Bill of Rights.

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Alparslan Bayrak is an effective altruism community builder in Turkey, founding EA Bilkent and EA Ankara, mentoring in the Open Student Program, and working to launch effective animal advocacy projects.

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Aaron Bergman is an early-career researcher and writer active in the effective altruism community. He graduated from Georgetown University in December 2021 with degrees in economics and mathematics and a philosophy minor, where he founded and helped lead Georgetown Effective Altruism. He has interned at the Department of the Interior, the Federal Deposit Insurance Corporation, and Nonlinear, an EA-aligned incubator and research organization. Bergman is the creator of the EA Archive, a project to preserve EA and alignment resources against potential data loss from catastrophic events. He won a $1,000 prize in the Essays on Longtermism competition for an essay arguing that some extreme suffering is morally non-offsetable under standard utilitarian frameworks. He writes on philosophy, economics, and EA topics at his Substack blog and is active on the EA Forum and LessWrong under the handle aaronb50. He has received funding from the Long-Term Future Fund for research on EA and longtermism.

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Special Projects Manager at the Berkeley Existential Risk Initiative since February 2025. She also works in web and data at Duke University, previously managed educational programs at the Institute for Defense & Business and the Warrior-Scholar Project, and holds a B.A. in Psychology from the University of North Carolina, where she was a Chancellor’s Fellow.

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Systems architect for technological sovereignty, designing frontier R&D programs at the intersection of materials science, synthetic biology, and AI to help states and institutions turn high-uncertainty science into sovereign capabilities.

Head of Events at the Safe AI Forum (SAIF). Previously served as Events Producer for The Alan Turing Institute and has held positions with the Australian High Commission in London, the Edinburgh International Culture Summit, Georgetown University, and the British Film Institute, specializing in complex multi‑partner events that tackle global challenges.

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Florian Dietz is an artificial intelligence researcher and data scientist pursuing a PhD in AI at Saarland University's Spoken Language Systems group. Before starting his doctorate, he worked as a consultant and freelance data scientist and built a startup based on an AI system designed to automate software and data science tasks.

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Drew Spartz is Head of the Incubation Program at Nonlinear. He previously founded Superlinear, an AI safety bounty platform, the Nonlinear Network funding platform, and a digital media company, and has also helped manage a family office. The team bio notes that he is an avid reader and traveler who has visited more than 50 countries.

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Patrick Stadler works on shaping a safe and flourishing future at the Swiss think tank Pour Demain. He co-founded and chairs the board of the GiveWell-recommended nonprofit New Incentives, which he helped scale to over 100,000 users for its vaccination program in Nigeria. Previously, he served as a political advisor for Switzerland’s economic development agency and worked on strategic communications for peacebuilding and mediation at the United Nations.

AI and neurotech advisor to Lionheart Ventures and Chief Scientific Officer at the Flow Research Collective, where he applies deep learning and distributed machine learning to understanding and training optimal human performance.

Nova DasSarma is the financial director and co‑founder of Hofvarpnir Studios and a systems leader at Anthropic, where she works on large-scale training and infrastructure. Her background includes systems administration at the NIH, engineering roles at several Y Combinator startups, and a BS in Information Systems from the University of Maryland, Baltimore County.

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Senior Research Scientist at the Transformative Futures Institute and principal investigator on a Foresight Institute–funded AI safety project developing computational tools to analyze complex multi‑agent AI scenarios.

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AI safety researcher and neuroscientist who serves as Director of Research at the Flourishing Future Foundation and as a research director / principal researcher in AI safety at AE Studio, with prior academic work on multilayer brain networks and recent papers on language-model deception, self-modeling, and self–other overlap for honest AI systems.

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Milos Borenovic is Chief Product Officer and Partnerships Lead at Lucid Computing, with a PhD in electrical engineering and an unconventional path into AI safety that includes twenty years of volunteer mountain rescue work and a prior career in fintech.

Ian David Moss is the CEO and founder of the Effective Institutions Project, where he helps donors and institutional leaders make higher-impact decisions on major global challenges. He has more than two decades of experience advising grantmaking foundations and philanthropic families, and his work has helped guide over $250 million in grants and other spending to improve people’s lives worldwide.

Matthias Dellago is a machine learning researcher who describes himself as a former physicist now focused on the science of deep learning, learning theory, and optimization. He received a Long-Term Future Fund stipend in October 2023 to support his master's thesis and an accompanying paper on mechanistic interpretability of attention mechanisms, with plans to publish on arXiv and release a tool for other researchers. His GitHub projects include a fork of TransformerLens and a project visualizing self-attention as a vector field, both consistent with his focus on mech interp of attention. He holds the title of Guest Researcher (likely at the University of Innsbruck based on online sources) and is active on LessWrong and the Alignment Forum under the handle matthias-dellago.

Kyle Fish is the Model Welfare Lead at Anthropic, where he joined in September 2024 as the company's first dedicated AI welfare researcher. His work focuses on assessing whether frontier AI systems like Claude might have conscious experiences and deserve moral consideration, including running systematic welfare assessments and self-interaction experiments on AI models. Before joining Anthropic, he co-founded Eleos AI Research and co-authored the report "Taking AI Welfare Seriously" alongside philosopher David Chalmers. His earlier career spanned biosecurity work at Telis Bioscience and Alvea (a COVID vaccine startup he co-founded), cellular agriculture research at Tufts and Mission Barns, global health work at Medical Teams International, and pandemic preparedness research at Blueprint Biosecurity focused on far-UVC technology. He was named to the TIME 100 Most Influential People in AI in 2025 and is also a mentor in the MATS (ML Alignment Theory Scholars) program.