Jan's current research is focused on understanding complex systems composed of both humans and AIs, and mathematical theories of cooperation and kindness across scales. Jan has a background in physics and complex networks and holds a PhD in physics from Charles University in Prague. Prior to co-founding ACS, Jan was a Research Fellow at Future of Humanity Institute, Oxford University and working on macrostrategy, AI alignment and existential risk. During covid pandemic, Jan also co-founded the Epidemic Forecasting project, and worked on modelling the pandemic. He has advised multiple national governments and international organisations including WHO, ECDC and government of the Czech republic. His work has been featured in the national and international media.
Raymond's main areas of interest are understanding the civilisational ramifications of powerful AI systems, and developing better accounts of how agency works in AI systems. Alongside his work at ACS, he is a research affiliate at the University of Toronto CS department and a contributor to the 2026 International AI Safety Report.
Martin is helping set up and run ACS Research. He holds a Master's degree in theoretical physics from Charles University in Prague. Before joining ACS, he spent several years as the Executive Director of an NGO running international physics competitions reaching thousands of participants worldwide.
Theia Vogel is the creator of the repeng open-source library for representation engineering, and a 2024 New Science fellow. Their research explores how language models represent and reason about themselves—from how personas are represented and manipulated to whether models can accurately introspect on their own internal states. They have a background in computational linguistics, and live in Seattle.
Ondřej holds a PhD in cognitive science from LMU Munich, where he studied the sense of agency — how humans experience themselves as authors of their actions. He conducted post-doctoral research at the Max Planck Institute for Human Cognitive and Brain Sciences and was affiliated with the Czech National Institute of Mental Health. Before joining ACS, he spent eight years as a data science architect. At ACS, he applies experimental cognitive science methods to study the psychology of large language models.
Annie holds a PhD in applied physics from Harvard University. As a postdoc at Princeton University, she studied emergent collective behavior in online communities. At ACS, she applies methods from complex systems, physics, and ecology to study the psychology and sociology of large language models. She is interested in understanding how cooperation, culture, and other emergent behaviors will change as AI becomes embedded in human social systems.
Vojtěch holds a PhD in mathematics from Charles University. He has held postdoctoral positions at Czech Technical University and Carnegie Mellon University's Foundations of Cooperative AI Lab, and did research at Oxford's Future of Humanity Institute. His research focuses on game-theoretic approaches to AI safety, formal analysis of AI evaluation protocols, and risks from runaway optimisation.
Tomáš received his PhD in theoretical computer science. He has since conducted research in both theoretical and applied areas including game theory, algorithms, data structures, computational genomics, and Bayesian modelling. His current interests focus on modelling human and artificial cognition, bounded rationality, and experiments investigating games, agency, and language models.
Gavin holds a PhD in AI from the University of Bristol and cofounded the research consultancy Arb, which specialises in forecasting, ML research, and technical policy. He co-authored The Scaling Era: An Oral History of AI, 2019–2025 with Dwarkesh Patel. During the Covid pandemic, he shifted to epidemiology, publishing in PNAS, Nature Communications, and PLoS Computational Biology, and advised the UK government on Covid and AI policy. He was a Fellow at the Cosmos Institute, Fellow at Foresight Insititute and visiting fellow at University of Cambridge.
Simon is a reseacher at University of Sussex, focusing is on complex adaptive systems and cognition both "in silico" (on computers) and "in vivo" (in biological organisms). His research often applies the frameworks of Shannon information theory and algorithmic information theory to the conceptual treatment of complex adaptive systems, formalization of agency, and goal-directed action.
Mihály contributed to ACS as a research engineer, bringing his background in mathematics and formal methods from Google and MIRI. He now works at an IT consulting company he co-founded and leads the Program on AI and Reasoning (PAIR).
Nora worked at ACS as a research manager and researcher. She is now a Programme Director on the Safeguarded AI programme at the UK's Advanced Research and Invention Agency (ARIA).
At ACS, Ada co-developed the InterLab multi-agent interaction toolkit and co-authored research on AI-AI bias. She now works in high-performance computing at IT4Innovations National Supercomputing Center and co-founded lern.cz, a technical training company.
Clem worked at ACS as a researcher. He has since co-founded Conduit Intelligence, a brain-computer interface startup building non-invasive thought-to-text technology.