CAMP DIRECTOR

Jan was until recently a Research Fellow at the Future of Humanity Institute at the University of Oxford and now leads the Alignment of Complex Systems research group at the Center for Theoretical Study in Prague.
His research is centered on making AI aligned with human interests and focuses among others on the active inference framework or hierarchical agency.
In his free time, he enjoys mountain hiking and drinking good tea.

CAMP DIRECTOR

Mihaly was a software engineer at Google and a former perfect scorer on the International Mathematical Olympiad. Since then, tried his hand at bunch of random things like algorithmic trading and blockchain analysis/hacking and now runs a small consulting company with a friend in Zurich. Mihaly is interested in functional languages, formal proof systems, rock climbing, and pigeons.

INSTRUCTOR

Tomáš is a researcher at the Alignment of Complex System research group in Prague, where he investigates a wide range of topics in AI, computer science, and AI alignment. He is particularly drawn to game theory, Bayesian modeling, and bounded rationality. Before focusing on AI, he worked in various areas of computer science theory and applications, such as algorithms and data structures, complexity, graph theory, and genomics.
Tomáš loves a good cup of tea and various types of games, enjoys coding, cooking, and hiking, and really appreciates having a green scenery outside his window.

INSTRUCTOR
Martin studies theoretical physics at Charles University in Prague, doing a master's thesis on describing the behavior of autoencoders using the methods of statistical mechanics.

He also leads a group organizing educational events in physics for high school students.

Martin enjoys trying to optimize his productivity and walking/running in nature.

CAMP DIRECTOR

Jan was until recently a Research Fellow at the Future of Humanity Institute at the University of Oxford and now leads the Alignment of Complex Systems research group at the Center for Theoretical Study in Prague.
His research is centered on making AI aligned with human interests and focuses among others on the active inference framework or hierarchical agency.
In his free time, he enjoys mountain hiking and drinking good tea.

GUEST INSTRUCTOR

Neel works at DeepMind doing language model interpretability research. He previously worked on interpretability research at Anthropic and as an independent researcher. He graduated from a maths degree at Cambridge in 2020. He's excited about understanding himself and the world, making good educational materials (especially for interpretability), blogging and optimising things

INSTRUCTOR

Tomáš is a researcher at the Alignment of Complex System research group in Prague, where he investigates a wide range of topics in AI, computer science, and AI alignment. He is particularly drawn to game theory, Bayesian modeling, and bounded rationality. Before focusing on AI, he worked in various areas of computer science theory and applications, such as algorithms and data structures, complexity, graph theory, and genomics.
Tomáš loves a good cup of tea and various types of games, enjoys coding, cooking, and hiking, and really appreciates having a green scenery outside his window.

INSTRUCTOR

Anna studied pure Mathematics, gradually found herself drawn to the field of complex systems and her master thesis focused on complex networks. Last year, she helped run the Principles of Intelligent Behavior in Biological and Social Systems summer research fellowship which aimed to understand the parallels between intelligent behavior in natural and artificial systems. Now she helps run ESPR programs, studies animal cognition and in her free time works on her zookeeping certification.

INSTRUCTOR

Damon is a licensed Marriage and Family Therapist, writer, and teacher at over a dozen rationality workshops and summer programs. He's a strong believer in the power of stories as a catalyst for growth, the value of rationality to improve therapeutic practices, and is working to combine all three in as many ways as possible.

INSTRUCTOR

Mihaly was a software engineer at Google and a former perfect scorer on the International Mathematical Olympiad. Since then, tried his hand at bunch of random things like algorithmic trading and blockchain analysis/hacking and now runs a small consulting company with a friend in Zurich. Mihaly is interested in functional languages, formal proof systems, rock climbing, and pigeons.

INSTRUCTOR

Andis is currently doing machine learning research, with a focus on sequence models and music transcription. He has degrees in CS and physics, and his interests include value systems, prompts for introspection, quantified self and puzzles.

INSTRUCTOR

Raymond did his degree in Maths and Philosophy at Oxford where he also wrote three plays and a musical, cofounded a dating app with thousands of users and an educational charity, and served as treasurer of the ukulele society. Raymond graduated in 2021 and spent half a year as COO/associate editor at a startup before leaving to do harder-to-explain things.

INSTRUCTOR

In the past, Quratul ("Q") has worked on things related to forecasting AI progress, co-organised a machine learning bootcamp and (hopefully by the time you're reading this) finished a degree in mathematics and economics. Other than AI, she's also currently interested in cooperative game theory, network science, and economic theory.

INSTRUCTOR

David did cancer research at Broad, data security research at Lincoln Lab and boutique security firms, cofounded a research nonprofit to foster robust epistemic institutions. He currently works on applied cybernetics and enjoys being off-grid for extended periods.