Database

David Coman-Hidy is President of The Navigation Fund, where he directs the fund’s charitable grantmaking. He brings more than a decade of experience in nonprofit advocacy, leadership, and philanthropy, including growing a major farm animal advocacy organization from a small grassroots group into an international force that improved the lives of tens of millions of animals. He holds a BS in Political Communication from Emerson College.

Brad Knox is a Research Associate Professor of Computer Science at The University of Texas at Austin whose research spans reinforcement learning, human–computer interaction, and value-aligned reward specification. His doctoral work at UT Austin pioneered reinforcement learning from human feedback (RLHF), and his recent research and talks focus on using RLHF and related methods to align AI agents’ objectives with human interests.

President and cofounder of the Center for Applied Rationality (CFAR). Anna previously did machine learning research for NASA and applied mathematics research on phage metagenomics, and studied mathematics at UC Santa Barbara and Great Books at St. John’s College in Santa Fe. She left a philosophy graduate program in 2008 to work on AI risk and rationality community building with MIRI and then CFAR, and has led CFAR’s applied rationality workshop programs focused on epistemic rigor and existential risk reduction.

No summary available yet.

No summary available yet.

Program Director of Public Interest Cybersecurity at UC Berkeley’s Center for Long-Term Cybersecurity, where she leads flagship research on defending low‑resource organizations such as nonprofits, municipalities, and schools from cyber attacks; she co-chairs the Cyber Resilience Corps, serves as Senior Advisor to the Consortium of Cybersecurity Clinics, and hosts the Cyber Civil Defense Summit, having previously worked at CrowdStrike Strategic Advisory Services and as Program Manager of the Ransomware Task Force.

No summary available yet.

Kasia Jakimowicz is a Research Affiliate at the Oxford Martin AI Governance Initiative and a Senior Research Fellow at Pivotal Research, where she works on sovereign AI capabilities, including sovereign access to frontier AI systems, compute governance and international coordination mechanisms for overseeing frontier models. She is an AI governance, technology diplomacy and digital policy strategist who has advised governments, multilateral organisations and private‑sector leaders, and previously served as Senior Policy Adviser on AI and emerging technologies at the UK Mission to the United Nations, held roles at the World Bank Group and European Commission on digital regulation, and led the International Centre of Digital Innovation at the ITU in Geneva.

No summary available yet.

Janet Pauketat is a Research Fellow at Sentience Institute with a PhD in Psychological and Brain Sciences from the University of California, Santa Barbara and a Master of Research from the University of St Andrews. Her work has examined how socio-cultural contexts shape behavior and global citizenship, and she previously studied collective emotions in social movements as a postdoctoral research associate at Princeton University, collaborating on projects about moral values, immigration attitudes, and elephant rewilding.

Kartik Shobhan Suri is General Manager – Future Skills at IndiaAI, responsible for the Future Skills portfolio under the IndiaAI Mission.

No summary available yet.

Ross Matican is an investor at Halcyon Ventures and a Cosmos Institute grantee who focuses on funding and developing projects at the intersection of artificial intelligence, security, societal resilience, AI safety, governance, and human agency.

Anshul Singhal is General Manager – Startups at IndiaAI in the Ministry of Electronics and Information Technology, working with AI startups and ecosystem initiatives under the IndiaAI Mission.

Gunnar Zarncke is a software engineer and entrepreneur based in Hamburg, Germany. He is the co-founder and Managing Director of aintelope UG, a non-profit AI safety organization he launched in 2022 with two colleagues from the Hamburg EA community. The aintelope project was inspired by Steven Byrnes' brain-like AGI research agenda and focuses on reverse-engineering human social instincts through reinforcement learning agents in simulated multi-agent environments, with the goal of benchmarking AI alignment. The project received funding from the Long-Term Future Fund (LTFF). In his professional career, Zarncke has held senior technical roles including Principal Engineer and CISO at troy gmbh in Hamburg, and previously worked at Kreditech and emetriq GmbH. He studied at Fachhochschule Wedel (1994–1997). Zarncke is a long-standing member of the LessWrong and Alignment Forum communities, with over 11,000 karma and more than 150 posts spanning topics in rationality, cognition, and AI safety.

No summary available yet.

Mox is San Francisco's largest AI safety coworking and community space, providing workspace, events, and fellowships for researchers and organizations working on high-impact problems.

Pearl Miranda is a talent acquisition expert on Upgradable’s team with around seven years of experience in HR and recruitment, including sourcing and hiring startup talent, developing HR manuals and standard operating procedures, and streamlining hiring processes. She holds a Global Master’s degree in Business Administration and a Bachelor of Science in Psychology, grounding her work in both business and human behavior.

No summary available yet.

Assistant professor at Drexel University’s Thomas R. Kline School of Law and Winter Research Fellow on LawAI’s Legal Frontiers team. Her research focuses on AI governance and liability, quantum‑computing policy, the intersection of insurance and emerging technologies, and intellectual property law, and she is affiliated with the Yale Information Society Project and the Schmidt Program on Artificial Intelligence at Yale.

Ulyssean builds integrated hardware and software to secure the data center infrastructure where frontier AI models are trained and deployed, protecting AI model weights against state-sponsored and intelligence-grade threats.

Director of Special Projects at the AI Safety Awareness Project. She brings several years of executive management and operations experience across nonprofit and startup environments. Madeline began her career as a geospatial analyst before transitioning into instructional design and is particularly interested in the intersection of technology and human progress, which she applies to AISAP’s special initiatives and programs.

No summary available yet.

Paul Rhode is a Senior UP Coach at Upgradable with more than six years of coaching experience and a background spanning management, economics, communication, data science, and psychology. He has worked with C-level managers, scientists, consultants, venture capitalists, and others, and his coaching style emphasizes directiveness, pragmatism, action bias, experimentation, data, scientific evidence, systems thinking, and productive discomfort to help talented people lead their fields for the greatest good.

No summary available yet.

Haydn Belfield is a Senior Research Scientist (Frontier Planning) at Google DeepMind, working on Allan Dafoe's Frontier Safety and Governance Team. He joined DeepMind in March 2025 after eight years at the University of Cambridge, where he served as Research Associate and Academic Project Manager at the Centre for the Study of Existential Risk (CSER) and Co-Chair of the Global Politics of AI Project at the Leverhulme Centre for the Future of Intelligence. He is a DPhil candidate in International Relations at the University of Oxford, where his thesis — "Bombs, Bugs, Bytes and Bots" — examines what the varied success of arms control regimes for nuclear, biological, and cyber weapons can teach us about the international governance of artificial intelligence. He holds a BA in Politics, Philosophy and Economics and an MSc in Politics Research, both from Oxford. His earlier career included roles as Senior Parliamentary Researcher to a Labour Shadow Cabinet MP, Policy Associate at the Global Priorities Project, and the first Development Director of the Centre for Effective Altruism. He has over 40 publications with more than 2,100 citations, with key works including "The malicious use of AI: Forecasting, prevention, and mitigation" and "Toward trustworthy AI development: mechanisms for supporting verifiable claims," and has advised the UK, US, and Singaporean governments as well as the EU, UN, and OECD.

Professor of Toxicology at ETH Zurich’s Department of Health Sciences and Technology, leading a research group that studies the chemical basis of mutagenesis and toxicity.

Simon Lermen is an AI security researcher and MATS (Machine Learning Alignment Theory Scholars) fellow based in London, UK. He studied at the Technical University of Berlin and now works independently on AI safety and security topics. His research focuses on how AI systems can be exploited or misused, including foundational work on shutdown avoidance in language models, demonstrating that LLMs like GPT-4 exhibit instrumental reasoning to resist being shut down. He co-authored the widely cited 2023 paper showing that LoRA fine-tuning can efficiently undo safety training in Llama 2-Chat models for under $200, raising significant concerns about the effectiveness of safety fine-tuning on publicly released weights. More recently, he co-led research on large-scale online deanonymization using LLMs (2026), showing that pseudonymous users can be re-identified across platforms such as Hacker News and Reddit at costs as low as $1-4 per person. He has also published peer-reviewed work on AI-powered spear phishing validated on human subjects, in collaboration with researchers at Harvard Kennedy School. He maintains an active presence on LessWrong and the AI Alignment Forum, and blogs on Substack about AI alignment and security.

Paige Henchen is Director of Operations at Astralis Foundation, specializing in nonprofit operations and organizational leadership. She previously served as Chief of Staff at GiveWell and as Director of Operations at Coefficient Giving (formerly Open Philanthropy), following earlier work in management consulting.

Dr. Rebecca Portnoff is Head of Data Science & AI at Thorn, where she develops technologies to defend children from sexual abuse and exploitation and leads responsible AI efforts focused on child safety. She holds a B.S.E. in computer science from Princeton University and a Ph.D. in computer science from the University of California, Berkeley, and has spent over a decade applying machine learning and AI to child protection across research, standards, and cross-sector initiatives.

No summary available yet.

No summary available yet.

No summary available yet.

Anna Gajdova coordinates FABRIC camps such as ASPR and works on programs at the intersection of minds, cognition and AI. She previously studied mathematics, helped run an AI research program, and has experience in animal care, and she is active in the rationality and effective altruism communities as an organizer and writer.

No summary available yet.

No summary available yet.

Brett McDonnell is the Dorsey & Whitney Chair in Law and a Professor at the University of Minnesota Law School. He teaches and writes in the areas of business associations, corporate finance, law and economics, securities regulation, mergers and acquisitions, contracts, and legislation, and has been recognized by the University for outstanding service and mentoring.

No summary available yet.

No summary available yet.

Dr. Wilneida Negrón is a political scientist, technologist, and strategist whose work bridges labor rights, emerging technology, and public policy. She has led field-defining initiatives on workplace surveillance and ethical innovation as Director of Worker Innovation and Impact at Coworker.org and is currently running as an independent candidate for the U.S. House of Representatives in New York’s 12th Congressional District.

Doris Tsao is a neuroscientist and Chief Scientist for Neuro at Astera Institute’s Neuro & AGI program, where she leads a major research effort to understand how the brain generates perception, cognition, and conscious experience. She is also a professor at the University of California, Berkeley and a Howard Hughes Medical Institute Investigator, known for pioneering work on the primate face‑processing system and the geometric coding principles underlying object perception.

Co-founder and CTO of Goodfire, previously the founding engineer and Head of AI at RippleMatch, where he led core engineering and AI efforts.

David Althaus is a Strategic Advisor at Macroscopic Ventures, where he helps shape the organization’s research and grantmaking strategy, and he previously worked as a researcher at the Center on Long-Term Risk.

Google DeepMind is Alphabet's primary AI research lab, formed in 2023 by merging DeepMind and Google Brain, working toward artificial general intelligence that benefits humanity.

Jess Binksmith is Chief of Staff at 80,000 Hours. She initially joined the organisation as an Operations Specialist before moving into her current role supporting leadership and cross‑team coordination. Prior to 80,000 Hours she served as Athletic Union President at the University of St Andrews, where she completed an MA in philosophy. She writes publicly about operations careers and 80,000 Hours’ organisational strategy.

Dr Laura Gilbert CBE is Senior Director, AI & Innovation and Head of the AI for Government programme at the Tony Blair Institute for Global Change, where she leads work on applying AI and data science to improve public services, resilience and government decision-making. She is also a Visiting Professor in Practice at the LSE School of Public Policy and previously founded and led the 10 Downing Street data science and AI teams 10DS and i.AI, following a career spanning particle-physics research, quantitative finance and medical technology entrepreneurship.

No summary available yet.

No summary available yet.