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 cofounded the research consultancy Arb, which specialises in forecasting and technical policy. He holds a PhD in machine learning. He advised the UK government on Covid and AI policy.