Database

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.

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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.

Joe Wheeler is a Partnerships Associate for Global Catastrophic Risks at Coefficient Giving. He previously started Dropbox's Social Impact team and worked with leadership to launch the Dropbox Foundation, later leading partnerships for the UN Development Programme and WhatsApp's civic engagement program in North America. He holds an MPA in Social Impact from the London School of Economics and a BA in Politics from Whitman College.

Luise Woehlke is an AI policy researcher and programs associate at the Institute for AI Policy and Strategy (IAPS), where she works on the IAPS AI Policy Fellowship and expanding the organization's programs portfolio. She holds a Bachelor's degree in Computer Science from the University of Edinburgh. Prior to IAPS, she worked in recruitment and operations at the Centre for the Governance of AI (GovAI). Her research has focused on US AI securitization, the US regulatory process for frontier AI, and the potential for government control over AGI development. As a 2024 Pivotal Research Fellow, she co-authored a study on how involved the US government may become in developing AGI, examining historical base rates. She also received a Long-Term Future Fund grant to conduct a supervised research project on US regulatory decision-making and frontier AI, working with John Halstead, PhD.

Arati Prabhakar is an engineer and public official who served as Director of the White House Office of Science and Technology Policy and President Biden’s chief science advisor from 2022 to 2025, and earlier led the National Institute of Standards and Technology.

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Jakob Graabak is the Interim Director of the Effective Institutions Project’s Peace and Security Program, where he is building a new program focused on great-power diplomacy and emerging-technology escalation risks. He previously led the technology foresight program at the Brussels-based Centre for Future Generations, co-founded the Norwegian Center for Long-Term Policy, worked as a project lead at SecureBio, and was a fellow at the McKinsey Global Institute.

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Jacob Lagerros is the founder of Ulyssean, a company building integrated hardware and software systems to secure the infrastructure that trains and runs frontier AI models, with backing from leaders at Anthropic, DeepMind, Meta, and CrowdStrike. Originally from Stockholm, Sweden, he studied at the University of Oxford and partially completed an MSc in Economics and Finance at LSE before dropping out to work full-time on AI safety-related projects. He co-founded Lightcone Infrastructure, the parent organization of LessWrong, where he worked on the Campus team alongside Oliver Habryka and others. Earlier in his career, he co-directed EAGxOxford 2016, served as secretary of the Oxford Prioritisation Project, and received a Long-Term Future Fund grant in 2019 to build forecasting infrastructure giving x-risk researchers superforecasting ability with minimal overhead, collaborating with Metaculus and Ozzie Gooen on that project. He has since pivoted toward AI hardware security, co-leading the UK Secure Cluster, advising government bodies including the National Security Council on AI export controls, and presenting at the Paris AI Security Forum 2025. He is also a mentor at Pivotal Research in the area of AI hardware security.

Alex Infanger is an independent AI safety researcher based in the San Francisco Bay Area. He completed his PhD in 2022 at Stanford University's Institute for Computational and Mathematical Engineering (ICME), where he studied theory and algorithms for Markov chains. He transitioned into AI safety and alignment research, receiving Long-Term Future Fund grants for upskilling in deep learning and working on automated red-teaming and interpretability. He was a MATS (Machine Learning Alignment Theory and Surveys) Fellow, and his research has spanned machine unlearning robustness, sparse autoencoders and superposition, and reward misspecification. Notable works include "Distillation Robustifies Unlearning" (NeurIPS 2025 spotlight), "Misalignment from Treating Means as Ends" (arXiv 2025), and "Eliciting Language Model Behaviors using Reverse Language Models" (NeurIPS SoLaR Workshop 2023 spotlight). He also facilitated AGI safety fundamentals reading groups with the MIT AI Alignment Team in Fall 2022.

Co-founder of EquiStamp, a third-party evaluator that provides objective evaluations of frontier language-model systems and has served as a key contractor to METR on projects such as RE-Bench.

Alexander Lintz (also known as Alex Lintz) is an AI governance researcher and entrepreneur based in Washington, DC. He is a co-founder and AI governance advisor at the Institute for AI Policy and Strategy (IAPS) and has helped launch several organizations in the AI safety and governance space, including The AI Governance Archive (TAIGA), the AI Safety Communications Centre (AISCC), and the Long-term AI Strategy Retreat (LAISR). In 2022, he co-organized LAISR in Washington, DC, a longtermist AI strategy retreat for approximately 35 researchers and practitioners, alongside Ashwin Acharya of Rethink Priorities. He has served as an affiliate and contractor for Rethink Priorities' AI Governance & Strategy team and has contributed feedback to foundational AI governance research including work by Allan Dafoe. He received grants from the Long-Term Future Fund for independent distillation and coordination work in the AI governance and strategy space, and earlier for organizing a career-focused workshop for European effective altruists interested in AI governance careers, which he ran with collaborators from EA Zürich. He is active on the EA Forum (handle: LintzA) where his posts on AI governance and democratic politics have received substantial engagement.

Alex Chao, founder of Fide AI. Alex leads benchmark design, evaluation methodology, research writing, and public release. Additional expert reviewers and research contributors will be recruited for scenario generation, rubric validation, and adjudication. His experience spans building AI systems, algorithms, models, and evaluations across places like Uber ATG (self-driving cars), Microsoft, and Bytedance.

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Kelsey Piper is an American journalist and staff writer at The Argument who previously wrote for Vox’s Future Perfect column, covering global challenges and catastrophic risks from an effective altruism perspective.

Malcolm Murray is Research Lead at SaferAI, where he heads work on quantitative risk assessment for large language models and advanced AI risks such as cybersecurity and biosecurity. He is an AI risk management expert with over two decades of experience in risk and strategy, previously serving as Chief of Research for Risk and Audit and Managing Vice President at Gartner and advising CEOs, prime ministers, and chief risk officers across the US, Europe, and Asia. He holds an MBA from INSEAD, a M.Sc. in Business and Economics from the Stockholm School of Economics, and a MIM from HEC, is a Good Judgment Project Superforecaster, and has been a CFA charterholder.

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Garrett Baker is an independent AI alignment researcher based in Berkeley, CA. He works on using singular learning theory (SLT), neuroscience, and reinforcement learning to build mathematically grounded theories for how values develop during training in ML systems. He has participated in the MATS program twice — as a MATS 3.0 scholar working on mechanistic interpretability of maze-solving agents under Alex Turner, and in the MATS 5.0/5.1 developmental interpretability stream — and has received funding via Manifund for both a MATS stipend and a full-time research salary. His research investigates epoch-wise critical periods in neural networks through an SLT lens, explores connections between ML inductive biases and neuroscience, and aims to create training stories that could produce inner-aligned AI. He is an active contributor to LessWrong and the AI Alignment Forum under the handle d0themath, with over 77 posts and 6,600 karma.

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Yaya Shi is the Lab Manager at the Institute for Advanced Consciousness Studies and a mental health clinician in training. Her interests span clinical and social neuroscience, particularly the neural and psychological mechanisms underlying attachment, grief, emotional resilience, and transformative emotional states, and she is motivated to translate consciousness research into accessible clinical tools and public engagement.

Cameron King is Operations Lead at Animal Advocacy Africa, having moved from running an e-commerce business to charity entrepreneurship and remaining active in the effective altruism community for over a decade.

Founder of CIRIS, open-source accountability infrastructure for autonomous AI: cryptographic attestation, runtime conscience, the Coherence Ratchet. Live in 14 languages, AGPL, mission-locked. Formerly IBM Associate Partner and AWS Professional Services.

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Mateusz Bagiński is a Polish AI safety researcher currently based in Tallinn, Estonia. He holds a BSc and MSc in cognitive science, and previously worked as a programmer at a startup developing software for enhancing collective sense-making. He transitioned into technical AI safety research after completing his dissertation, receiving a Long-Term Future Fund grant to skill up and gain experience working on AI safety full-time. In 2024, he was a PIBBSS Fellow mentored by Tsvi Benson-Tilsen (ex-MIRI), where he conducted a conceptual investigation of the core drivers of goal-achieving mental activity using the hermeneutic net method, presenting preliminary results at the PIBBSS Symposium '24 under the title "Fixing our concepts to understand minds and agency." His research focus is on theoretical and agent foundations work. He is active on LessWrong and the EA Forum, and has co-authored posts on AI safety policy including arguments for why safety-concerned researchers at capabilities labs should speak out publicly. He is the organizer of the AFFINE Superintelligence Alignment Seminar, a five-weekend intensive program in Hostačov, Czech Republic bringing together approximately 35 participants with leading mentors in the field.

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Jeyashree Krishnan (JK) is a researcher at Apart Research, works on generative AI products in Siemens Corporate IT, and is a researcher at RWTH Aachen’s Center for Computational Life Sciences, with expertise spanning interpretability, AI safety and risk, time series modelling, and computational biology.

PhD student at the University of Vermont and Software Engineer. I'm interesting in Programming Languages, Formal Methods, and AI Safety.

Clare Diane Harris is a Research Associate at Macroscopic Ventures, where she researches societal long-term risks; she is a medical doctor who now primarily conducts non-clinical research for organizations aiming for positive social impact.

Suren Pahlevan is a PhD student in the Faculty of Music at the University of Cambridge and a Student Fellow at the Leverhulme Centre for the Future of Intelligence. His ethnomusicological doctoral research, funded jointly by the Arts and Humanities Research Council and the Isaac Newton Trust, examines how British producers in genres such as pop, hip‑hop, R&B and EDM are incorporating AI tools into digital audio workstation production and what this implies for the design of ethical music‑AI systems.

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