Database

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.

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.

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Alois Zwinggi is Interim President and Chief Executive Officer of the World Economic Forum and a Managing Director of the Forum, having joined the organization in 2010 after a two‑decade executive career with Swiss construction materials company Holcim.

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Curriculum Developer & Instructor at the Center for Applied Rationality. Divia has a bachelor’s degree in computer science from Harvard University and describes herself as a rationalist, unschooling advocate, and enthusiast of behavior-shaping techniques and literature, focused on spending time with her family and exploring how to understand the world better.

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Co-founder of the AI Objectives Institute, where she serves as Vice President and Board Chair, focusing on how people interact with rapidly changing technology. Her work at AOI includes leading on Talk to the City, an open-source LLM interface for improving collective decision-making, drawing on prior experience interviewing technologists for the radio show Digital Village and building large-scale software systems for media companies.

Mrinank Sharma is an AI safety researcher who led the Safeguards Research Team at Anthropic from August 2023 until his resignation in February 2026. He holds a D.Phil in Statistical Machine Learning from the University of Oxford, where he was supervised by Tom Rainforth, Eric Nalisnick, and Yee Whye Teh in the Autonomous Intelligent Machines and Systems programme, and an MEng in Information and Computer Engineering from the University of Cambridge, where he graduated top of his cohort. At Anthropic his research focused on frontier model safeguards, post-deployment monitoring, automated red-teaming, understanding sycophancy in language models, jailbreaking defenses, and developing protections against AI-assisted bioterrorism. Earlier in his career he developed Bayesian models to evaluate the effectiveness of nonpharmaceutical interventions on COVID-19 transmission, work that was cited in US federal legislation, presented to the Africa CDC modelling group, and shared with the UK's Scientific Advisory Group for Emergencies. He also contributed to research on Bayesian neural networks and AI interpretability. After leaving Anthropic he announced plans to move back to the UK and pursue writing and poetry.

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Freelance tabletop role‑playing game designer, writer and editor with over a decade of experience in gaming, known for contributing to projects such as the City of Mist role‑playing game and for producing and hosting a major role‑playing games podcast, serving as a Senior Game Design Associate for Intelligence Rising.

Senior Risk Assessment Associate at CARMA and AI safety researcher who develops methodologies for comprehensive risk assessment of advanced AI systems and their capabilities.

Nina Friedrich is the Executive Director of High Impact Professionals, where she shapes the organisation’s strategic direction and leads the Impact Accelerator Program. She previously worked as a strategy consultant specialising in negotiations and as a software engineer, and holds a PhD in mathematics from the University of Cambridge.

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Timour Razek is Manager for Storytelling & Community Engagement at TechCongress, where he builds communications and partnerships that highlight the impact of technologists on national governance and the organization’s fellowship programs. Before joining TechCongress, he worked in global health communications, including roles with USAID’s Bureau for Global Health and the World Health Organization, focusing on equitable health reform and public engagement.

Malcolm Handley is part of the Softmax team and previously was employee #1 at Asana and an early engineer at Google. He founded Strong Atomics, a nuclear-fusion-focused venture capital firm, and serves as an advisor at ARPA-E.

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Morgan Rogers is a mathematician and Maître de conférences (Associate Professor) in computer science at LIPN (Laboratoire d'Informatique de Paris Nord), Université Sorbonne Paris Nord, based in Villetaneuse, France. He holds bachelor's and master's degrees in mathematics from the University of Cambridge and completed his PhD at the Università degli Studi dell'Insubria (Como, Italy) in 2021, with a thesis on toposes of monoid actions supervised by Professor Olivia Caramello. His academic research focuses on category theory and topos theory, with applications to models of lambda-calculus and descriptive complexity theory. In parallel, Rogers has engaged with AI alignment research through the AI Alignment Forum and LessWrong, receiving funding from the Long-Term Future Fund for a project to clarify and formalize the concept of goal-directedness, supervised by Adam Shimi. This work produced a sequence of posts applying formal mathematical approaches to the question of what it means for an agent to be goal-directed, connecting his category theory background to foundational questions in AI safety.

Charlie Petty is a life sciences and technology investor based in New York City who co-founded Adjuvant Capital, an investment firm focused on global public health, previously worked for the Global Health Investment Fund and Artemis Capital Partners (and its predecessor Axia Partners), and serves on the boards of multiple biotech and global health companies and nonprofits.

Jannik Brinkmann is a PhD student in Computer Science at the University of Mannheim, Germany, advised by Christian Bartelt and Paul Swoboda. He holds an M.Sc. in Data Science (with distinction) and a B.Sc. in Computer Science, both from the University of Mannheim. His research focuses on mechanistic interpretability of neural networks, including sparse autoencoders, causal mediation analysis, and the internal mechanisms underlying multi-step reasoning and cross-lingual representations in large language models. He has worked as a visiting researcher in the interpretable neural networks group at Northeastern University under David Bau, and in the ML2 group at NYU under He He. He received a Long-Term Future Fund grant to support part-time interpretability research in collaboration with David Bau and Logan Riggs, resulting in work on improving sparse autoencoder training methods and measuring progress in dictionary learning for language model interpretability.

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Toby Bonvoisin is a DPhil student in Tropical Medicine and Global Health at the University of Oxford, based at the Pandemic Sciences Institute and the NDM Centre for Global Health Research. His doctoral research focuses on evaluating interventions to reduce the transmission of respiratory pathogens in hospitals, with a particular interest in modelling the spread of novel respiratory viruses. He is supervised by Professor Ben Cooper and Professor Sir Peter Horby, and is a member of Green Templeton College, Oxford. His academic background includes an MBChB in Medicine from the University of Sheffield (2013-2018), a PGCert in Health Research and Statistics from the University of York (2018-2020), and an MSc in Global Health Science and Epidemiology from the University of Oxford (2020-2021). Prior to his DPhil, he worked as an Academic Foundation Doctor at Hull University Teaching Hospitals NHS Trust. He received an $18,000 grant from the Long-Term Future Fund in May 2021 to support the first part of his DPhil, with the grant intended to build career capital toward longtermist work in biosecurity and pandemic preparedness.

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Member of technical staff at Anthropic focused on AI safety and reinforcement learning infrastructure, previously led AI safety programs at BlueDot Impact, and currently serves as an advisor to Formation Research.

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Dawn Song is a Professor of Computer Science at UC Berkeley and co-director of the Berkeley Center for Responsible, Decentralized Intelligence (RDI). Her research focuses on AI safety and security, agentic AI, deep learning, security and privacy, and decentralization technology, and she has received major honors including a MacArthur Fellowship, Guggenheim Fellowship, NSF CAREER Award, Sloan Research Fellowship, and ACM SIGSAC Outstanding Innovation Award.

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