Database

Chief Strategy Officer at Gray Swan AI, joining from Tanium where he served as Senior Vice President of Strategy & Innovation leading product innovation, strategic partnerships, and technology alliances.

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Maximilian Nebl is a computer programmer, engineer, tinkerer, and open-source enthusiast whose professional career has involved repeated exposure to cyber and system security, from engineering and QA leadership roles in fintech to CTO roles in logistics technology. He has implemented AI in software development projects and is motivated to help ensure that artificial intelligence is developed in a secure and privacy-conscious way.

Dmitrii Volkov is Head of Security Research at Palisade Research, leading the lab’s research execution and collaborations on offensive AI and AI safety. Before joining Palisade he worked on compilers at JetBrains and operating systems at Kaspersky, and began but did not complete a cybersecurity and formal methods PhD at Purdue University.

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Mathematician and software engineer, former Google software engineer and perfect scorer on the International Mathematical Olympiad, who later worked in areas such as algorithmic trading and blockchain analysis and now runs a small consulting company in Zurich.

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A bi-weekly newsletter by Concordia AI covering technical AI safety research, governance, and policy developments in China, aimed at bridging the knowledge gap between China's AI safety ecosystem and the global community.

Will Bradshaw is a biologist, bioinformatician, and Senior Research Scientist at SecureBio, where he serves as Head of Computational Programs and helps lead the Nucleic Acid Observatory (NAO) project focused on early detection of catastrophic pandemics through metagenomic sequencing of wastewater and environmental samples. He holds a BA and MPhil from the University of Cambridge and a Doctor of Natural Sciences (magna cum laude) from the Max Planck Institute for Biology of Ageing, where his PhD research focused on B-cell ageing in turquoise killifish. Before joining SecureBio full-time in 2024, he was a Research Scientist at the MIT Media Lab (Sculpting Evolution group) from 2022 to 2024, establishing metagenomics research partnerships with Ginkgo Biosecurity and the CDC. His earlier roles include a Research Fellowship at the Wild Animal Initiative, a Summer Research Fellowship at the Future of Humanity Institute, directing a data-science competition at altLabs, and independent biosecurity consulting. He received Long-Term Future Fund grants for work on information hazards decision-making and biosecurity research, and is an active contributor to the EA Forum on topics including biosurveillance, biosecurity engineering, and pandemic preparedness.

Stanford University's interdisciplinary research center tackling critical security challenges, including AI governance, nuclear risk, biosecurity, and emerging technology policy.

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Zach Furman is a PhD student at the University of Melbourne working on singular learning theory and the mathematical foundations of deep learning, advised by Liam Hodgkinson and collaborating closely with Daniel Murfet and Timaeus. His research aims to make AI safer by understanding how neural networks work using tools from mathematics and physics, with a focus on developmental interpretability. He holds an undergraduate degree in mathematics and computer science from Boston University, and prior to his PhD he worked in rocket engineering (embedded software, electrical, and aerospace engineering) and briefly conducted machine learning interpretability and condensed matter physics research. He is affiliated with FAR.AI as a researcher, where he contributed to the "Eliciting Latent Predictions from Transformers with the Tuned Lens" paper. He also co-authored "The Loss Kernel: A Geometric Probe for Deep Learning Interpretability" and a position paper on singular learning theory for AI safety. He received a $40,000 grant from the Long-Term Future Fund in October 2023 to support six months of research in Daniel Murfet's group at the University of Melbourne, with results targeting publication at academic ML conferences.

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Philip Quirke (also known as PQ) is an AI safety researcher and Research Lead at Martian who made a notable career transition into AI safety from a background in software engineering, Agile coaching, and business analysis. He entered the field through Apart Research's hackathon and fellowship program, which he describes as a transformation, and subsequently served as a Research Project Manager at FAR.AI. His research focuses on mechanistic interpretability, including a widely-cited 2023 paper on how transformers perform integer addition and collaborative work on planning representations in recurrent neural networks trained to play Sokoban. He has co-authored papers on AI regulation and alternative AI architectures, and has produced five papers while securing approximately $90,000 in research grants. He received an LTFF grant to support a six-month career pivot into AI safety and alignment research, and has been involved with AI Safety Australia and New Zealand.

Mallory Strawn is Chief Operating Officer at TechCongress, overseeing the organization’s day‑to‑day operations. She is a seasoned professional with more than 12 years of experience in the tech industry focused on operations and knowledge management, holds a BBA from Georgia State University, and has supported numerous startups, SaaS companies, and nonprofit organizations.

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Yale University is a private Ivy League research university in New Haven, Connecticut, home to several AI safety and governance research programs, including the Schmidt Program on AI and National Power, the Center for Algorithms, Data, and Market Design (CADMY), and the Digital Ethics Center.

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Amy Labenz serves on LASST’s board of directors and works as a director at the Centre for Effective Altruism, where she has previously served as general counsel. Before joining CEA she worked as a civil rights attorney in Detroit and as chief compliance officer and chief operating officer at the Machine Intelligence Research Institute, and she is a graduate of New York University School of Law.

Daniel Skeffington is a PhD candidate in the Department of War Studies at King's College London, where his thesis examines the exercise of the war prerogative in post-Second World War conflicts in Britain and the United States. He holds an MSc in Political Theory from the London School of Economics and a BSc in Politics and International Relations from the University of Bath. Previously, he served as a Research Fellow at the Constitution Society in London, where he authored a report on emergency powers in the United Kingdom and began research connecting emergency governance frameworks to existential and catastrophic risk scenarios. He currently works as a Parliamentary Researcher to Lord Stirrup KG, former Chief of the Defence Staff, and is a Senior Fellow at Policy Exchange and a Student Contributor for Lawfare. His research spans executive and prerogative power, constitutional history, the law of armed conflict, and the governance of extreme risks including AI, pandemics, and nuclear conflict. He received a grant from the Long-Term Future Fund for research and a report on the role of emergency powers in the governance of existential risk.

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Brad Rogers Carson is an American lawyer and public servant who represented Oklahoma’s 2nd congressional district in the U.S. House of Representatives from 2001 to 2005 and later served as General Counsel and then Under Secretary of the Army, as well as Acting Under Secretary of Defense for Personnel and Readiness. He subsequently became the 21st president of the University of Tulsa and has since moved into leadership in AI policy advocacy and governance.

Bryce Meyer is a software engineer and the primary maintainer of TransformerLens, the leading open-source library for mechanistic interpretability research on GPT-style language models. TransformerLens was originally created by Neel Nanda and allows researchers to load 50+ open-source language models and inspect their internal activations, making it the de facto standard tool for mechanistic interpretability work at organizations including Anthropic, Meta Research, Redwood Research, and Apollo Research. Meyer has maintained the library with a track record of consistent contributions, rapid iteration to support newly released models, and active community support via a weekly live-coding stream in the Open Source Mechanistic Interpretability Slack. He received a $50,000 grant from the Long-Term Future Fund in 2023 to build and enhance open-source mechanistic interpretability tooling, followed by a $90,000 year-long LTFF stipend to serve as TransformerLens's primary maintainer. He is also the president of Pomelo Productions, an independent software development studio based in Milwaukee, Wisconsin, and a self-taught developer with many years of professional engineering experience.

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Co-founder and CEO of Noya, a direct air capture company aiming to reverse climate change by pulling CO2 from the atmosphere; he studied Chemical‑Biological Engineering at MIT and previously worked as a project manager at Tesla and Harley‑Davidson.

AI alignment researcher who has collaborated with Orthogonal on the QACI formal-goal alignment agenda, co-authoring the “formalizing the QACI alignment formal-goal” article.

JJ Hepburn is the founder of Ashgro and previously worked as a facilitator at AI Safety Camp; he has training in machine learning with TensorFlow on Google Cloud Platform and studied at Macquarie University and the Australian National University.

A remote, non-profit research group focused on mechanistic interpretability of deep learning models, developing causal abstraction frameworks, open-source course materials, and mentorship programs for the AI safety community.

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An Ivy League research university in Philadelphia with multiple programs relevant to AI safety, including formal verification of autonomous systems, AI governance research, and AGI international security analysis.

The University of Maryland, College Park is a flagship public research university conducting extensive AI safety, trustworthy AI, and responsible AI research through multiple interdisciplinary institutes and centers.

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A program within EURAIO (European Responsible Artificial Intelligence Office) that convenes expert summits and develops frameworks to address AI-driven psychological manipulation and protect civil liberties from autonomy-eroding AI systems.

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Johannes C. Mayer is an independent AI alignment researcher and game developer who has dedicated his career to addressing AI existential risk. He participates in the AI safety research community through LessWrong and the AI Alignment Forum, where he has published over 76 posts on topics including structural approaches to alignment, computational models of intelligence, and world model interpretability. He completed the MATS Summer 2022 cohort under the mentorship of Evan Hubinger, and has served as a mentor for the Supervised Program for Alignment Research (SPAR) at UC Berkeley. His research agenda focuses on translating intuitive concepts such as goals, wanting, and abilities into formal computational frameworks, and on constraining AI reasoning processes structurally rather than purely specifying outcome-level objectives. He received a grant from the Long-Term Future Fund to pursue this research on turning intuitions about intelligence into concepts applicable to computational systems.

A hardware security startup developing tamper-proof enclosures for AI chips to prevent physical attacks on AI hardware and enable international AI governance through verifiable compliance mechanisms.

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Tim Farrelly is a founder and engineer based in Dublin, Ireland. He studied Computer Engineering at Trinity College Dublin and previously conducted AI safety research with academics at Oxford and Trinity College Dublin, focusing on cooperative AI and multi-agent systems. He co-founded Field of Vision, a company that creates haptic devices to help visually impaired sports fans experience live games, which was featured in Time Magazine's Best Inventions. He also co-founded Patch, an initiative supporting talented Irish youth, and Hack Ireland/Hack Europe, Ireland's largest student hackathon. He has received a grant from the Long-Term Future Fund for equipment to improve productivity while pursuing AI safety research, and his personal website states he is refocusing his energy on AI safety work.

Aric Floyd is the on‑camera host of AI In Context, the YouTube channel produced by 80,000 Hours that uses long‑form documentary‑style videos to explain transformative AI and its risks. He joined 80,000 Hours in 2025 as an Associate Video Producer after previously working as a film and television actor based in Los Angeles while on extended leave from undergraduate physics studies at Stanford University.

Peter Mühlbacher is a founding research scientist at FutureSearch. He holds a PhD in Mathematics from the University of Warwick and previously worked as a research scientist at Metaculus and as a risk analyst at UniCredit Bank Austria.

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