Dr. Jess Whittlestone is Head of AI Policy at the Centre for Long-Term Resilience (CLTR), a UK-based think tank working to reduce extreme risks. In this role she leads CLTR's work developing and advocating for policy recommendations to reduce extreme risks from AI, including frontier AI regulation and model evaluation for catastrophic risks. She was previously a Senior Research Fellow and Deputy Director of the AI: Futures and Responsibility Programme at the Leverhulme Centre for the Future of Intelligence and the Centre for the Study of Existential Risk (CSER) at the University of Cambridge. She holds a PhD in Behavioural Science from the University of Warwick and a first-class degree combining Mathematics and Philosophy from the University of Oxford. She is also an affiliate of the Centre for the Governance of AI (GovAI) and has received funding from the Long-Term Future Fund to research the links between short- and long-term AI policy while building technical ML knowledge. She was named one of TIME's 100 Most Influential People in AI in 2023.

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Imran Khan is a strategist and writer working at the intersection of science, technology, and society, with a focus on AI safety, psychedelics, and how emerging technologies reshape human experience. He publishes essays and resources on these topics at his personal site and collaborates with the Center for Humane Technology on AI‑related explainers and analysis.

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Gregory Kollmer is the Chief Technology Officer and co‑founder at Lucid Computing and holds a Bachelor of Science degree from Georgetown University.

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AI safety engineer at Gray Swan AI and Member of Technical Staff at Cohere, focusing on high-quality, diverse post-training data for large language models and on keeping AI systems safe and secure.

Elav Horwitz is Chief Innovation Officer at WPP, where she leads applied innovation and helps global brands harness emerging technologies such as generative AI, XR, and Web3 to drive growth. She has over two decades of experience in technology-driven marketing and previously led innovation and partnerships for McCann Worldgroup.

Conrad Helminger is a Senior Associate at the Effective Institutions Project, supporting research, monitoring, and prioritization across institutions and issue areas. He holds an MA in International Political Economy and is a PhD candidate at the University of Amsterdam, where he studies global shifts in power, norms, and institutions.

Sara Price is a Member of Technical Staff at Anthropic working on AI safety, based in the Bay Area. She has worked in machine learning since 2016 and transitioned into AI alignment research in early 2024 through the MATS 5.0 (Spring 2024) program, after which she received a 6-month stipend to continue independent research on situational awareness and deception in AI systems. Her research focuses on adversarial robustness of multimodal LLMs, scheming and deception, control, and model organisms of misalignment. She was a co-author on Petri, an open-source AI safety auditing tool developed at Anthropic that automates evaluation of concerning model behaviors such as deception, sycophancy, and self-preservation. She now serves as a mentor for the MATS Summer 2026 program in the Anthropic and OpenAI Megastream.

Ihor Kendiukhov is a bioinformatician and machine learning and quant finance professional whose research spans AI for biology, AI safety, econophysics, and longevity; he has authored work on single-cell foundation model interpretability and other ML applications in biology, and holds investment and deep-tech roles such as Deputy General Partner at Deep Knowledge Group.

Zaha Hassan is a human rights lawyer and senior fellow in the Middle East Program at the Carnegie Endowment for International Peace; her work focuses on Palestinian‑Israeli peace efforts, the use of international legal mechanisms by political movements, and U.S. foreign policy in the region.

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Hafsa Ahmed is a Grants Associate on Coefficient Giving's Grants Management team. She joined in January 2025 after working in a variety of UK and US non-profit operations roles and leading a youth mental health startup in the UAE. She holds an MSc in International Social and Public Policy (Development) from the London School of Economics.

Northeastern University is a private R1 research university in Boston, Massachusetts, home to notable AI safety and mechanistic interpretability research through its Khoury College of Computer Sciences and Institute for Experiential AI.

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Daniel Privitera is the founder and Executive Director of the KIRA Center, an independent AI policy non-profit based in Berlin. He serves as Lead Writer of the International AI Safety Report, which is backed by dozens of governments and international organisations, and holds a master’s degree in economics from the University of Oxford with work at the intersection of economic research and machine learning.

Casey is an Operations Associate at Giving What We Can, helping to ensure smooth operations across the organisation. She brings broad experience from work with peak bodies, universities, research institutes and international organisations across Australia and Europe, and holds a Master of Public Health from the University of New South Wales plus bachelor’s degrees in Psychology and Anthropology from the University of Sydney.

AI policy lead at Observatorio de Riesgos Catastróficos Globales, working on EU AI regulation, international governance, and large-scale AI risk assessments.

Roger Grosse is a Director of The AI Safety Foundation and an Associate Professor of Computer Science at the University of Toronto, where he holds the Schwartz Reisman Chair in Technology and Society and a Canada CIFAR AI Chair. His research focuses on deep learning, neural network training dynamics and AI alignment, and he also works on alignment and training-data attribution as a member of Anthropic’s Alignment Science team.

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Mehmet Sencan is the CEO of Earendil, with work spanning medical devices, biosensors, nanofabrication and optics.

Iván Godoy is an AI safety researcher who received a grant to dedicate six months full-time to upskilling and AI alignment research, with a tentative focus on agent foundations. A LessWrong account under the handle "ivan-godoy" was created in September 2025, suggesting recent entry into the AI safety community. The small grant amount ($6,000 for six months of salary support) indicates Godoy is likely based in Latin America where living costs are lower. Beyond these details, limited public information is available about Godoy's background, prior roles, or research output at this time.

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Nick Hay is an AI alignment researcher and co-founder of Encultured AI, an alignment-focused startup developing platforms for AI safety experiments. He holds a PhD from UC Berkeley (2015), where he studied metalevel control under Professor Stuart Russell, applying reinforcement learning and Bayesian analysis to how agents can learn to control their own computations. Before co-founding Encultured AI, he spent five years at Vicarious AI working on AGI approaches grounded in robotics and served as a technical researcher at the Machine Intelligence Research Institute (2017-2021). In 2021 he received a $150,000 grant from the Long-Term Future Fund to design and implement simulations of human cultural acquisition as both an analog of and testbed for AI alignment, working as a visiting scholar at CHAI advised by Andrew Critch and Stuart Russell. His research interests span reinforcement learning, value alignment, and using cultural acquisition dynamics as a lens for understanding how AI systems can learn human-compatible behavior. He first engaged with AI safety upon reading Eliezer Yudkowsky's Creating Friendly AI in 2001, interning at MIRI in 2006 and attending the Singularity Summit in 2007.

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Research Director at the Collective Intelligence Project and a neuroscientist focused on emerging technologies and the science of collectivity, following a 15‑year academic career and leadership roles at Irrational Labs and the Social Science Observatory.

Aether is an independent research lab focused on LLM agent safety, conducting technical research on the alignment, control, and evaluation of large language model agents.

London-based for-profit AI safety company working on Cognitive Emulation, an approach to building controllable, bounded AI systems that reason transparently.

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Lennart Justen (known as Lenni) is a doctoral researcher at MIT's Media Lab and the Broad Institute, co-advised by Kevin Esvelt and Pardis Sabeti. He holds a BS in Physics and Political Science from the University of Wisconsin-Madison (2022) and completed his SM thesis at MIT titled "Advancing Biosecurity in the Age of AI: Integrating Novel Detection, Suppression, and Evaluation Approaches." His research focuses on biosecurity and pandemic preparedness, spanning pathogen-agnostic biosurveillance, airborne transmission suppression, and AI capability evaluation in biology, including work on the WMDP (Weapons of Mass Destruction Proxy) benchmark and the Virology Capabilities Test. He has previously held research positions at SecureBio, the Office of the Director of National Intelligence, and the U.S. State Department, and served as a 2024-25 Fellow at the Council on Strategic Risks. As of October 2025, he also serves as Research Manager for the ERA AIxBio Research Fellowship. He received early-career funding from the Long-Term Future Fund to increase his impact as a biosecurity researcher.

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Emre Yavuz is Director of Programs at the Cambridge Boston Alignment Initiative, where he leads CBAI’s research fellowship portfolio. He also serves as a research volunteer with MIT’s AI Risk Initiative, applying insights from political science and macroeconomics to frontier AI governance and risk.

Lynette Bye is a productivity coach and AI journalist based in London, UK. She holds a BA in Psychology from Harvard University and previously researched self-control with over 3,000 participants under Angela Duckworth at the University of Pennsylvania. She has been coaching effective altruists since 2017, accumulating over 2,000 coaching sessions, with clients reporting an average of 25 additional productive hours per month. Her coaching clients include staff at organizations such as Open Philanthropy, the Future of Humanity Institute, and the Centre for Effective Altruism. In 2024, she was selected as one of eight Tarbell Fellows from a pool of over 500 candidates, a fellowship supporting early-career AI journalists, and began contributing analysis pieces on AI policy and alignment to the Transformer newsletter. She is also a board member of the Mental Health Navigator and an active community organizer in the London EA community.