Database

Satvik Golechha is a Research Scientist at the AI Security Institute (AISI), a directorate of the UK Department for Science, Innovation and Technology, where he works on frontier alignment, mechanistic interpretability, and reinforcement learning. He completed a B.E. in Computer Science from BITS Pilani, India, and previously worked as a researcher at Microsoft Research and as an Associate Research Scientist at Wadhwani AI on applied machine learning for healthcare. He participated in the MATS Summer 2024 program under mentor Nandi Schoots, working on neural network modularity in the interpretability stream, and also conducted independent research at the Center for Human-Compatible AI (CHAI) at UC Berkeley. His published work includes "Challenges in Mechanistically Interpreting Model Representations" (arXiv 2024), "Training Neural Networks for Modularity aids Interpretability" (arXiv 2024), and "Intricacies of Feature Geometry in Large Language Models" (ICLR 2025), as well as collaborative research with Anthropic on auditing language models for hidden objectives. He received a Long-Term Future Fund grant to work on safe and robust reasoning via mechanistic interpretation of model representations.

Dr. Rand Waltzman is an adjunct senior information scientist at the RAND Corporation whose work focuses on artificial intelligence and cognitive security in the information environment. He has decades of experience managing AI research applied to domains such as social media and influence operations, and previously served as acting chief technology officer at Carnegie Mellon University’s Software Engineering Institute and as a program manager at DARPA responsible for the Social Media in Strategic Communications program.

Liz Specht is an Emerging Technology Fellow with Horizon’s Executive Branch track, currently placed at the Defense Advanced Research Projects Agency. She previously served as an Executive Branch fellow at the Emerging Technologies Institute and as Senior Vice President of Science and Technology at the Good Food Institute. She holds a B.S. in chemical and biomolecular engineering from Johns Hopkins University and a Ph.D. in biological sciences from the University of California San Diego.

Brian Tan is a co-founder and Operations Director of WhiteBox Research, an AI safety nonprofit based in Manila, Philippines, that trains early-career researchers in mechanistic interpretability. He co-founded WhiteBox in August 2023 alongside Clark Urzo and Kriz Tahimic, and leads the organization's operations, marketing, and project management. He also serves as an Operations Associate at Arcadia Impact, a UK nonprofit focused on AI safety and governance. Brian co-founded Effective Altruism Philippines in 2018 and worked full-time to grow the chapter in 2021, before supporting EA communities globally as a Group Support Contractor at the Centre for Effective Altruism from 2022 to 2023. He holds a degree in IT Entrepreneurship from Ateneo de Manila University, where he graduated as a Merit Scholar in 2019. WhiteBox Research's flagship AI Interpretability Fellowship runs for five months in person in Manila, with the goal of building AI safety research capacity in Southeast Asia.

Patrick Leblond is a CIGI senior fellow and CN–Paul M. Tellier Chair in Business and Public Policy at the University of Ottawa, specializing in international economic governance, including trade, financial and monetary integration, banking regulation and regional economic agreements.

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Federico Speziali is co-founder of High Impact Professionals and works as a monitoring and evaluation manager at Ambitious Impact. His work focuses on effective giving, incubation programmes, and helping professionals and donors channel resources to high-impact charities.

Sarah is a product lead and full‑stack software engineer at Giving What We Can, supporting product development and maintaining the organisation’s technical infrastructure.

Roman V. Yampolskiy is a computer scientist and AI safety pioneer who serves as a tenured Associate Professor at the University of Louisville and as founder and director of its CyberSecurity Lab. He coined the term AI safety in a 2011 publication and is recognized as a founding researcher in the field, known for work on AI containment, AI safety engineering, and the theoretical limits of AI controllability. His research has been cited by over 10,000 scientists, featured in more than 1,000 media reports across 30 languages, and he has authored over 200 publications on artificial intelligence, cybersecurity, and behavioral biometrics.

Research Scholar at ILINA focusing on legal approaches to accountability and evaluation in the safe development and deployment of highly capable AI, and a Researcher at the University of Cape Town African Hub on AI Safety, Peace and Security; she is also a Legal Fellow at the AI Whistleblower Initiative and holds a first‑class undergraduate law degree from Strathmore University.

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Laurens Prins serves on LASST’s board of directors. He is a Dutch legal professional who has worked in private practice at international law firms, in-house at a major energy company, and as a judge in the Netherlands.

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Ella McIntosh is the Managing Director at the Effective Institutions Project, working closely with the CEO on strategic initiatives and external relations while ensuring the organization’s systems run effectively. She was one of EIP’s first employees and holds an MSc in International Social and Public Policy from the London School of Economics.

Co-founder and former President of Foresight Institute; futurist who writes and lectures on nanotechnology, artificial intelligence, and life extension; co-author of Unbounding the Future and Leaping the Abyss and coiner of the term "open source software".

Ozzie Gooen is the Executive Director and founder of the Quantified Uncertainty Research Institute (QURI), a nonprofit focused on advancing forecasting, probabilistic reasoning, and epistemics to improve long-term decision-making. He studied General Engineering with a concentration in Economics at Harvey Mudd College (class of 2012). Before founding QURI in 2019, he created Guesstimate (2016), a probabilistic spreadsheet tool widely used in EA cause prioritization, was a Research Scholar at Oxford's Future of Humanity Institute, worked at 80,000 Hours, and co-founded .impact (2013), an online collective for EA projects. At QURI, he has led the development of Squiggle, an open-source estimational programming language designed for building probabilistic models, as well as Squiggle Hub, a collaborative platform for sharing and running Squiggle models. He was a guest fund manager for the Long-Term Future Fund in 2021 and is an active contributor to LessWrong and the EA Forum on topics of forecasting, epistemics, and AI risk.

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Executive Director of the Transformative Futures Institute and Assistant Professor of Business Analytics at Wichita State University, whose research applies forecasting and foresight methods to technological progress, transformative AI, and existential risk.

Harold Figueroa is co-founder of the Berryville Institute of Machine Learning and director of the Machine Intelligence Research and Applications (MIRA) Lab at an intelligence community contractor, where he leads efforts to integrate advances in machine learning, AI, language sciences, and network science into operational products. His background includes applied mathematics research and work at the Cornell Lab of Ornithology developing widely used acoustic environmental monitoring tools.

Luke Freeman is the COO of Good Ancestors, working on policy responses to AI safety, pandemic risks, and catastrophic disasters. Previously he served as CEO of Giving What We Can, led and founded technology and charitable organisations including the edtech company FLUX and the research recruitment platform Positly, and has more than a decade of experience in tech, marketing, and effective giving.

Phil Lunn is the founder and CEO of Plator Consulting (Plator AI), where he helps organizations adopt AI and data‑driven decision‑making. With nearly four decades of experience across product management, marketing, sales, and management consulting, he focuses on using AI to drive growth and to help businesses and professionals adapt to technological change.

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Tyler Tracy is a Member of Technical Staff at Redwood Research, based in Berkeley, California, where he focuses on high-stakes AI control research. Before entering AI safety, he worked as a software engineer for approximately five years. He joined the MATS (ML Alignment & Theory Scholars) program, where he began collaborating with Redwood Research on AI control, which led to a stipend-funded extension to continue that work. His most notable contribution is co-authoring "Ctrl-Z: Controlling AI Agents via Resampling," described as the largest and most intricate study of AI control techniques to date, introducing resample protocols that reduce the success rate of adversarial attacks from 58% to 7%. His research interests span control protocols, model organisms, scheming and deception detection, and AI safety strategy. He is also a mentor at Pivotal Research and serves as a mentor in the Redwood Research stream of the MATS program.

Tom Gruber is an AI product designer, inventor, and entrepreneur best known as co‑founder, CTO, and head of design for the team that created Siri, later acquired by Apple. He now advocates for “humanistic AI,” advises organizations on using AI to augment human intelligence, and serves as a scientific advisor to the Center for Humane Technology.

Edward Yee is the Head of Strategic Projects at FAR.AI, working across operations, strategy, and special projects. He is a serial social entrepreneur whose ventures have been funded by organizations such as Sequoia Capital, the UNDP, Y Combinator, and SV Angel. He holds two master’s degrees from Oxford University as a Rhodes Scholar, was valedictorian of his class at Nanyang Technological University, and has been recognized as an Obama Leader, a Commonwealth Youth Award for Asia recipient, and a Forbes 30 Under 30 honoree.

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Linda Linsefors is a physicist turned independent AI safety researcher and organizer based in London. After a PhD in loop quantum cosmology, she shifted focus to AI alignment, co-initiated the first AI Safety Camp, and has since worked on theory-focused alignment research (including work on superposition and Newcomblike environments) and on organizing and advising AI safety programs.

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Head of Societal Resilience at the UK AI Security Institute and former Associate Director at the Ada Lovelace Institute, with around a decade of experience working at the intersection of technology, law and society.

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Software engineer on the MIT AI Risk Initiative at MIT FutureTech with a background in AI research, embedded software, and systems engineering, and a Bachelor of Science in Engineering from Harvey Mudd College.

Research Associate in the Department of Computer Science at the University of Oxford’s OXCAV group with a PhD in Computer Science from the University of Buenos Aires, where he specialized in formal methods for distributed systems; his current work focuses on connecting formal verification and AI safety.

Jérémy Andréoletti is an AI Security Researcher at the General-Purpose AI Policy Lab, where he builds models to forecast AI capabilities and emerging risks, and he recently completed a PhD in computational evolutionary biology at École Normale Supérieure in Paris.

Operations Manager at Probably Good who specializes in building systems that drive impact; previously supported youth health and education initiatives in Botswana and led operations for an international professional training organization based in Mexico City.

PhD student in the ML4STS Lab working on benchmarking fair coding assistants to assess LLM performance across dimensions such as bias mitigation and code quality.

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Blake Pierson is a serial entrepreneur and nonprofit leader who helped co‑found and scale the apartment‑rental startup Lovely and later worked in senior roles at companies such as Opendoor before focusing full‑time on philanthropic and nonprofit work with organizations including the Future of Life Institute, Ergo Impact, Rainbow Gardens, and Fathom.

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Eli Sugarman is Director of Special Projects at the William and Flora Hewlett Foundation, where he focuses on catalytic opportunities at the intersection of security and emerging technologies, and serves on the Board of Directors of the Institute for Security and Technology as well as boards of organizations such as ROOST and Girl Security.

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Programme and Research Director at the School of International Futures, with over twelve years’ experience delivering strategic foresight and research projects for governments, non‑profits and academic institutions.

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Strategic advisor at the AI Objectives Institute and Program Co-Lead for the AI Supply Chain Observatory, where she applies interdisciplinary expertise in ecology, science communication, and AI ethics to address disruptions in life-sustaining supply chains. She is also known as the co-founder of MICRO, a distributed network of small science museums.