Csaba Botos

Csaba Botos leads curriculum design at Google DeepMind. His research examines how reasoning models form and revise hypotheses, how their representations relate to human cognition, and how AI systems can teach people and coordinate with one another. He earned a DPhil in Engineering Science at the University of Oxford and has also developed interactive TensorFlow.js visualizations to communicate machine-learning concepts.

Career

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Elsewhere

Google DeepMind

Sep 2026 — Present

Curriculum Design

University of Oxford

DPhil thesis in Engineering Science

Products & media

botcs.github.io

Reason to Play: Behavioral and Brain Alignment Between Frontier LRMs and Human Game Learners

Explore research comparing how reasoning models and people learn unfamiliar games, including behavioral results and analysis of model representations against human brain activity.

botcs.github.io

The Grand Challenge of Theory of Mind: Teaching

Read his proposal for studying how AI systems can model learners and adaptively teach them.

Writing

botcs.github.io

Csaba Botos — Academic Page

Browse his research, publications, and interactive TensorFlow.js demonstrations on machine learning.

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Csaba Botos

Google DeepMind

University of Oxford

Products & media

Reason to Play: Behavioral and Brain Alignment Between Frontier LRMs and Human Game Learners

The Grand Challenge of Theory of Mind: Teaching

Csaba Botos — Academic Page

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