Database

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Nikhil Kunapuli is an independent researcher and currently Head of Research at Praxis, a company focused on building innovative urban environments, a role he has held since September 2022. He holds a B.S. in Physics from MIT (2014-2018) and an M.S. in Physics from the University of Illinois Urbana-Champaign (2022). Earlier in his career, he co-founded Luminous Computing, an AI hardware startup, serving as COO from 2018 to 2019, before departing to pursue direct AI safety work. He conducted research at the New England Complex Systems Institute (NECSI) and received a $30,000 Long-Term Future Fund grant in April 2019 for independent AI safety deconfusion research, specifically studying safe exploration and robustness to distributional shift through the lens of biological complex systems and theoretical biology. His approach sought to generate insights applicable to AI safety by examining how natural organisms and ecosystems handle robustness and exploration challenges. He also writes a personal Substack, Inspired Nonsense, covering AI, physics, and philosophy.

Software engineer with a mix of practical industry experience and formal qualifications whose research interests include software development methodologies and ethics for artificial intelligence systems, and who is listed as a researcher with ARAAC.

Charlie Steiner is an independent AI alignment researcher based in Boston, MA, focused on the problem of value learning. He holds a PhD in condensed matter physics and transitioned into AI safety research, where he works on making conceptual progress on value learning and translating that progress into experiments using language models and model-based reinforcement learning. A particular focus of his work is how to translate values and policies between different learned ontologies, with the goal of modeling human preferences—including higher-order preferences—in a principled rather than ad hoc way. He is an active contributor to LessWrong and the Alignment Forum (where his LW 1.0 username was Manfred), with over 75 posts and significant community engagement. He has received funding from the Long-Term Future Fund for a 12-month independent research salary to pursue value learning research. He also appears on the Future of Life Institute's community pages as an independent researcher in the AI safety space.

Devon Fritz is the co-founder of the nonprofit High Impact Professionals and author of The High-Impact Professional’s Playbook. He has spent nearly a decade coaching professionals on maximizing their career impact and advising on strategic philanthropic giving, and previously served as Chief Operating Officer at Ambitious Impact. His background includes software development and degrees in computer science, information technology, and computational linguistics.

Co-founder of Compassion in Machine Learning (CaML), working on AI safety and alignment methods such as synthetic pretraining data so that future AI systems show robust compassion toward all sentient beings, including non-humans.

Associate Professor and Head of Information Technology within the Institute of Innovation, Science and Sustainability at Federation University Australia, whose research focuses on multi-objective reinforcement learning, safe and explainable AI, and digital health, and who is an active member of the Australian Responsible Autonomous Agents Collective (ARAAC).

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Ammon Bartram is a software engineer and serial founder best known as co-founder and former CEO of the technical hiring platform Triplebyte; he serves on Redwood Research’s board of directors.

Ajay Rayasam is a Principal on the technology investment team at Osage University Partners, focusing on software, computing, and hardware deals, and previously served as Chief of Staff and Product Manager at enterprise software startup Kubisys.

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Christopher (Chris) Akin is the Chief Operating Officer at Apollo Research, where he leads operations and commercial strategy for the organization’s AI safety and evaluations work. He brings prior experience in strategy, operations, and leadership roles at organizations including CLA Consulting, BURN Manufacturing, The Base Project, and Locean Labs.

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Jamie Harris is the Courses Project Lead at the Centre for Effective Altruism, leading a team running online programmes and fellowships that help people explore high-impact ways to help others.

Joan Gass is the Co‑Founder and Co‑Executive Director of the Horizon Institute for Public Service. She brings extensive experience launching and scaling organizations, including co‑founding a nonprofit in Uganda, helping to start a strategy consulting office in Nigeria, and serving as Managing Director of a global nonprofit. She also sits on the board of the Good Food Institute and has worked on reducing infectious disease burdens and mapping opportunities for impact in the global biosecurity ecosystem. Joan holds an MBA from Stanford Graduate School of Business, an MPA from Harvard Kennedy School, and a bachelor’s degree from Yale University.

Tom Lenaerts is a full professor in the Computer Science department at Université Libre de Bruxelles, where he co-heads the Machine Learning Group focusing on artificial intelligence, computational biology and related areas. He also holds a partial affiliation as a research professor with the Artificial Intelligence Lab at Vrije Universiteit Brussel and is an affiliated researcher at UC Berkeley’s Center for Human-Compatible AI, having previously served in leadership roles such as chair of the Benelux Association for Artificial Intelligence and director of the Interuniversity Institute of Bioinformatics in Brussels.

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Friederike Schüür is Head of EU and Global AI Governance at the Ada Lovelace Institute, where she leads work to inform research and influence policy and practice on data and AI at European and international level. Previously she led data strategy and governance at UNICEF, supporting responsible use of data about children, and before joining the UN held roles as a data scientist and AI research engineer in technology start-ups. She holds degrees in cognitive science and philosophy and a PhD in cognitive neuroscience.

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Anton Korinek is a professor of economics at the University of Virginia’s Department of Economics and Darden School of Business and serves as faculty director of the Economics of Transformative AI (EconTAI) Initiative. His research analyzes how transformative advances in artificial intelligence affect economic growth, labor markets, inequality, and market concentration, with an emphasis on steering AI progress toward shared prosperity. He also holds nonresident senior fellow and research roles at institutions such as the Peterson Institute for International Economics, the Brookings Institution, the National Bureau of Economic Research, and the Centre for Economic Policy Research, and has been recognized on TIME’s 2025 TIME100 AI list and Vox’s Future Perfect 50.

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Management consultant focused on building strategy, operations and partnerships for early‑stage organisations, and Chief Operating Officer for Intelligence Rising / Technology Strategy Roleplay. She has consulted with line ministries under the Government of India on gov‑tech and policy initiatives and has an academic background in management studies with a specialisation in finance and in statistics.

Oscar Balcells Obeso is a mathematics student at ETH Zurich and AI safety researcher specializing in mechanistic interpretability. Originally from Spain, he previously studied Aerospace Engineering and Mathematics at Universitat Politecnica de Catalunya (BarcelonaTech) in Barcelona. He participated in the ML Alignment & Theory Scholars (MATS) program in its Winter 2023-24 cohort under the mentorship of Neel Nanda, and received a Long-Term Future Fund stipend to research the mechanisms of refusal in chat LLMs. His work on refusal led to the NeurIPS 2024 paper "Refusal in Language Models Is Mediated by a Single Direction" (co-authored with Andy Arditi, Aaquib Syed, Daniel Paleka, Nina Panickssery, Wes Gurnee, and Neel Nanda), which demonstrated that refusal behavior in open-source chat models is controlled by a single linear direction in the residual stream. He also co-authored the ICLR 2025 Oral paper "Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models" with Javier Ferrando, Senthooran Rajamanoharan, and Neel Nanda. He has additional experience at Anthropic and competed in the International Olympiad in Informatics in 2020 representing Spain, earning a bronze medal.

Richard Phillips is Chair of the Board of The AI Safety Foundation and a veteran Canadian finance executive. He is the founder of East West Investment Management, a Toronto-based private investment office serving high-net-worth clients and foundations, and previously served as deputy chairman and head of global capital markets at CIBC World Markets. He has also been active in the non-profit sector, chairing boards and committees focused on issues such as poverty and community development.

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Matt MacDermott is an AI safety researcher currently serving as an Astra Fellow on the technical AI safety team at Coefficient Giving. He completed his PhD at Imperial College London as part of the Centre for Doctoral Training in Safe and Trusted AI, under the supervision of Dr Francesco Belardinelli, focusing on techniques for safe reinforcement learning and the foundations of goal-directed agency. During his PhD, he worked with the Causal Incentives Working Group and was previously a research scientist at LawZero. He is a SERI MATS alumnus and has received multiple grants for AI alignment research. His published work includes "Measuring Goal-Directedness" (NeurIPS 2024 Spotlight), "Discovering Agents" (Artificial Intelligence journal, 2023), a Best Paper Award at TARK 2023 for work on multi-agent influence diagrams, and a 2025 co-authored paper with Yoshua Bengio on catastrophic risks from superintelligent agents.

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Audrey Tang is Taiwan’s Cyber Ambassador, a civic hacker and 2025 Right Livelihood Laureate who previously served as the country’s first Digital Minister from 2016 to 2024. She is known for co‑authoring the book Plurality and for pioneering open‑source, participatory digital‑democracy platforms such as vTaiwan and Join.gov.tw.

Rafael Andersson Lipcsey is a Swedish political scientist and economist whose career spans central banking, diplomacy, research, and AI policy work. He holds a Master of Science in Economics and Management of Government and International Organizations from Bocconi University and Sciences Po, and a Bachelor of Science in Economics from the University of Gothenburg. He was a TALOS fellow in the Governance of Artificial Intelligence Programme at SIPRI (Stockholm International Peace Research Institute), where he reviewed AI-related news and contributed to research on military and civilian applications of AI. He subsequently served as a 2025 AI Policy Fellow at the Institute for AI Policy and Strategy (IAPS), where he researched a pan-European distributed AI strategy and helped develop testing and evaluation measures for military AI systems, as well as contributing to the drafting of EU codes of practice for frontier AI models. His published research includes work on the transformative effects of AI on international economics and AI diffusion pathways in low- and middle-income countries. He received a grant from the Long-Term Future Fund as a stipend for upskilling within the field of economic governance of AI.

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Daniel Atherton is an adjunct lecturer in the Writing Program at Georgetown University whose work focuses on writing and editing and on responsible artificial intelligence. He contributes to the AI Incident Database, a project of the Responsible AI Collaborative, where he writes AI incident roundups and co-authors research on AI incidents and trustworthy AI.

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Sage Andrus Bergerson is a researcher and data analyst with expertise in machine learning and AI policy. She holds an MS in Machine Learning from University College London, where her work focused on speech recognition and natural language processing, and a BS in Neuroscience and Computer Science from New York University, where she was a research fellow with the Machine Learning for Language group. She previously served as a Research Data Analyst at the Brain Resilience Laboratory (Knight Initiative for Brain Resilience) at Stanford, applying deep learning to brain resilience and aging research. Her connection to AI safety and governance includes co-authoring "The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny?" (arXiv, 2024), a data-driven study examining how the disparity in computational resources between industry and academia threatens independent scrutiny of advanced AI systems, produced in collaboration with Epoch, MIT CSAIL's FutureTech group, and the Centre for the Governance of AI (GovAI). She received a small grant from the AI Risk Mitigation Fund to support this work. Past affiliations include DMM.com Group, the Office of the Director of National Intelligence, Stanford CISAC, and the NYU Center for Data Science.

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Jose Groh is an astrophysicist and independent researcher who received a career transition grant to pursue AI safety and risk mitigation research. He holds a PhD in astrophysics from the University of Sao Paulo (Brazil), earned at age 25, and built a 15-year academic research career studying massive stars, supernovae, and black holes. He served as Professor of Astrophysics at Trinity College Dublin (until 2022), as Senior Researcher at the University of Geneva under an Ambizione award, and as a researcher at the Max Planck Institute in Germany. During his academic career he published over 170 peer-reviewed papers and delivered more than 40 keynote presentations at international conferences. After leaving academia he has been based in Leiden, Netherlands, and has been developing skills in machine learning and AI, including mechanistic interpretability, as part of his transition toward AI safety research.

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Remco Zwetsloot is the Co‑Founder and Co‑Executive Director of the Horizon Institute for Public Service. Previously, he was a Trustee Fellow at the Center for Strategic and International Studies, where he remains a non‑resident Adjunct Fellow, and a founding Research Fellow at Georgetown’s Center for Security and Emerging Technology, leading work on the U.S. AI and semiconductor workforce. His research on the emerging technology workforce, STEM immigration, research security, and U.S.–China technology competition has appeared in outlets such as the Wall Street Journal, the Washington Post, and Foreign Affairs, and has been cited in high‑level policy reports. Remco holds master’s degrees from Yale University and the University of Oxford and a bachelor’s degree from University College Roosevelt.

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Law professor at Touro Universitys Jacob D. Fuchsberg Law Center whose teaching and research focus on torts, climate change law and policy, and law & artificial intelligence. His work on using tort law to mitigate catastrophic risks from advanced AI systems, including the paper "Tort Law as a Tool for Mitigating Catastrophic Risk from Artificial Intelligence," has attracted substantial media and legislative interest and an Open Philanthropy grant to support future AI governance scholarship.