Database

Jerremy Holland is Director of AI Research at Apple, where he leads the AI Research group working on artificial intelligence and machine learning for areas such as autonomous systems, natural interaction, and health and wellness, and he serves as chair of the board of directors at Partnership on AI. He has an extensive track record in AI and machine learning research and holds multiple patents in the field.

Alfie Lamerton is a UK-based AI safety researcher and founder of Formation Research, an organization focused on quantifying and minimizing lock-in risk — the risk that harmful or oppressive features of the world become permanently stabilized, particularly through AI-enabled authoritarianism and power concentration. He is also a part-time research assistant at King's College London working on clinical machine learning benchmarking, and holds an MSc from King's College London. He participated in the MARS (Mentorship in Alignment Research Students) London programme, through which he conducted a literature review on in-context learning hypotheses and their implications for automated AI alignment research, supported by a Long-Term Future Fund grant. His research interests span lock-in risks, recommender system alignment, AI-enabled totalitarianism, and governance-informed technical interventions. He writes about these topics on his Substack and has published related work on LessWrong.

Patrick Mellor previously taught philosophy at San Francisco State University, has conducted research on episodic memory and temporal perception, biogeography and vertebrate phylogeny, and herring communication, and holds a BSc in Biological Sciences and an MA in Philosophy from San Francisco State University.

Director of Sage, the nonprofit behind AI Digest, Fatebook, and Quantified Intuitions, with a background in computer science, philosophy, and HCI research and previous work at Clearer Thinking.

Executive Director of Effective Thesis, leading its work to empower students to focus their theses and careers on the world’s most pressing problems by providing programs, resources, and initiatives such as the Effective Thesis Pledge and Effective Thesis Fellowship that help them use academic research as a pathway to real-world impact.

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Researcher at the Existential Risk Observatory with a background in mathematics, physics, and software development, providing technical expertise on AI evaluations and connecting technical and policy perspectives.

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Shaowei Lin is a mathematician and machine learning researcher whose work spans singular learning theory, spiking neural networks and program synthesis. He serves as Chief Scientist at the Beneficial AI Foundation and helps lead BAIF’s AI‑assisted formal verification and vericoding research, including contributions to projects such as Signal Shot and the vericoding benchmark.

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David Scott Krueger is an AI safety researcher and Assistant Professor in Machine Learning at the University of Montreal and Core Academic Member at Mila, the Quebec Artificial Intelligence Institute, where he holds a CIFAR AI Chair and the IVADO Professorship in Responsible AI. From 2021 to 2024 he was an Assistant Professor at the University of Cambridge, where he founded and led the Krueger AI Safety Lab (KASL), an AI safety research group based in Cambridge's Computational and Biological Learning Lab. He completed his PhD training under Yoshua Bengio, Roland Memisevic, and Aaron Courville at Mila/Université de Montréal (2013–2021) and interned at Google DeepMind's AI Safety team in 2018. His research spans deep learning, AI alignment, and AI safety, with notable contributions to understanding goal misgeneralization, algorithmic manipulation, reward hacking, robustness, and learning from human preferences. In 2023 he served as a research director on the founding team of the UK AI Security Institute and initiated the CAIS Statement on AI Risk. In 2025 he founded Evitable, a nonprofit aimed at informing the public about societal-scale AI risks.

Events organizer at the Existential Risk Observatory with a degree in geography and prior experience in foresight and operations consulting, supporting the organization’s events.

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Tyrance Billingsley II is the founder and executive director of Black Tech Street, a national initiative based in Tulsa that aims to rebuild Black Wall Street through technology and STEM by cultivating an equitable tech ecosystem for Black entrepreneurs and talent.

Shashwat Goel is a first-year ELLIS PhD student at the ELLIS Institute and Max Planck Institute for Intelligent Systems in Tübingen, Germany, co-advised by Jonas Geiping and Douwe Kiela. He completed a dual degree (B.Tech + M.S.) in Computer Science and Engineering from IIIT Hyderabad (2019–2024) under Prof. Ponnurangam Kumaraguru. His research focuses on evaluation and benchmarking of language models, machine unlearning, and building training environments to improve LLM decision-making. He was a SERI MATS scholar, during which he contributed to the WMDP Benchmark (Weapons of Mass Destruction Proxy), a dataset measuring hazardous knowledge in LLMs and evaluating unlearning methods, published at ICML 2024 and featured in TIME Magazine. He also contributed to the Representation Engineering (RepE) paper on AI transparency, and co-authored work on corrective machine unlearning and evaluating whether unlearning methods truly remove information from model weights. His work on fairness in sequential decision-making won an Outstanding Paper Award at AAAI 2024.

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Stuart Russell is a Distinguished Professor of Computer Science at the University of California, Berkeley, holder of the Smith-Zadeh Chair in Engineering, and director of the Center for Human-Compatible AI and the Kavli Center for Ethics, Science, and the Public. He is co-author of the widely used textbook Artificial Intelligence: A Modern Approach and author of Human Compatible: AI and the Problem of Control, and his research spans many areas of artificial intelligence including probabilistic reasoning, machine learning and long-term AI safety.

Head of Finance at Fifty Years with a background that includes serving as a platoon leader in the Swiss Armed Forces, five years on BCG’s Corporate Finance Task Force, an investing role at EQT, and a decade running finance on the operational side at companies such as Wonderschool.

Mikhail Baranchuk is an AI safety researcher and software engineer currently working in distributed computing at Google. He holds an M.S. in Computer Science from the University of Oxford and a B.Sc. in Statistics and Computer Science from McGill University (Class of 2022). At Oxford, he completed a master's thesis titled "Error Correction for Perfectly Secure Generative Steganography on Arbitrary Covertext" (2023). He is best known for co-authoring "Secret Collusion among AI Agents: Multi-Agent Deception via Steganography," published at NeurIPS 2024, which was the first work to formally investigate secret collusion among frontier foundation models and evaluate steganographic capabilities in multi-agent LLM setups. His research interests include complex systems, multi-agent AI, and AI safety. He has previously worked at Morgan Stanley, National Bank of Canada, and Nuance-Microsoft, and received a grant to further research AI collusion mitigation strategies and develop secure steganographic techniques.

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Timothy Underwood is a self-published fiction author born in Southern California who lives in Budapest, Hungary. He studied early modern history at UC Berkeley and has made a living for years writing Pride and Prejudice fan fiction variations, with popular titles including Mr. Darcy and Mr. Collins's Widow, Colonel Darcy, and A Compromised Compromise. In 2022, he received an ACX grant (from Scott Alexander's ACX Grants program) to fund writing a fantasy novel promoting Effective Altruism. The resulting novel, The Split Summon: Two Souls, One Body, is an isekai/portal fantasy about an effective altruist who dies and wakes up in a fantasy world with magical powers, embedding EA concepts and perspectives into the narrative. He serialized the novel on Royal Road and SpaceBattles forums before publishing it on Amazon, and shared draft chapters with the EA and LessWrong communities for feedback. He is active on LessWrong (username: timothy-underwood-1) and the EA Forum (username: timunderwood).

Rafael Besen is Chief People Officer at AE Studio with a master’s degree in computer science, around 15 years of software development experience, more than a decade in startups and team management, and over five years in customer relationship and product management for B2B and B2C products.

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Ross Graham is a PhD student in the Department of Sociology at the University of California San Diego, where he is also affiliated with the Science Studies program. His research focuses on the sociology and ethics of artificial general intelligence, existential risk, and algorithmic systems. He published a 2021 paper in AI & Society employing inductive discourse analysis of the academic literature on AGI ethics, finding that both scientific and philosophy-adjacent disciplines frame AGI ethics primarily around mitigating existential risk. He co-authored a 2021 study in Big Data & Society on how people make sense of algorithmic contact tracing and risk assessment systems during COVID-19. His dissertation research, supported by a grant covering a 12-month stipend and research fees, examines public ethical attitudes toward existential risk.

Natalia Fedorova is Partnership Manager and AI Research Lead at Palisade Research, where she has worked since 2025 building collaborations around AI safety research. Previously, from 2020 to 2025, she served as Head of Research Partnerships at Toloka, leading research and industry partnerships on AI and data projects.

Wendy Nather is Senior Research Initiatives Director at 1Password and a veteran security leader who previously led advisory CISO programs and research at Duo Security, the Retail ISAC, and 451 Research; she serves on the steering committee of the Institute for Security and Technology’s Ransomware Task Force and on the board of Sightline Security.

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Founding researcher at Geodesic Research leading pretraining and midtraining safety directions to address dangerous capabilities such as biorisk and offensive cyber, and to instill deeper alignment and character into large language models.

Giuseppe Dal Prá is the Founder and CEO of the Odyssean Institute and a transdisciplinary thinker focused on whole-society transitions to a more resilient and flourishing civilisation. He studied History and Politics at Balliol College, University of Oxford, is a Fellow of the Royal Society of Arts, and has written on preparing democratic institutions for wicked problems and systemic risks such as runaway climate change using deliberative and other antifragile reforms. He also co-authored the ComplexCity proposal, a semi-finalist in the Global Challenges Foundation’s New Shape Prize, which outlined an epistemic democratic platform for citizen-led policy experimentation.

Nathan Lile is a co-founder and CEO of SynthLabs.ai, a research lab focused on improving the reasoning and alignment of frontier AI systems using reinforcement learning from human and AI feedback and synthetic data. He previously worked as a researcher at Stability AI and continues to collaborate with EleutherAI on post-training methods such as RLHF and RLAIF for GPT-NeoX and related large language model projects.([scholar.google.com](https://scholar.google.com/citations?hl=en&user=y6v6c-4AAAAJ))

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Anja Manuel is a co-founder and principal at Rice, Hadley, Gates & Manuel LLC, a strategic consulting firm that helps U.S. companies navigate international markets and geopolitical risk. She is also executive director of the Aspen Strategy Group and Aspen Security Forum and previously served in the U.S. Department of State as special assistant to the under secretary for political affairs, focusing on South Asia policy.

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Wyatt Tessari L'Allié is the Founder and Executive Director of AI Governance and Safety Canada (AIGS Canada), a non-partisan not-for-profit organization based in Ottawa working to ensure advanced AI is safe and beneficial. He moved to Ottawa in October 2021 to build the Canadian AI safety and governance community, consolidating various Canadian AI safety groups into a unified national organization. His background spans mechanical engineering (École Polytechnique de Montréal, 2011), filmmaking (New York Film Academy, 2008), mining and emissions compliance work, and climate advocacy through three electoral campaigns between 2010 and 2015. After learning about AGI and x-risk in 2015, he spent four years researching 21st-century challenges and authored a book on global issue prioritization before transitioning fully to AI governance work. Since 2022, AIGS Canada has made public policy submissions to the Canadian federal government and he has testified before multiple parliamentary committees on AI governance. He received Long-Term Future Fund grants to connect, expand, and enable the AGI safety and governance community in Canada.

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