Tom Everitt

Staff Research Scientist at DeepMind

London, England, United Kingdom
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Summary

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Tom Everitt is a Staff Research Scientist at DeepMind with a decade of experience at the intersection of mathematics, AI and cognitive science. He holds a PhD in Mathematics and Computer Science from ANU and combines deep theoretical grounding with practical research in machine learning and decision-making. Previously a co-founder and course coordinator, he brings entrepreneurial initiative and teaching experience to collaborative research environments. Based in London, he continues PhD work at ANU while leading research at DeepMind, reflecting a hybrid academic-industry trajectory. Known for bridging formal math with applied AI, he often draws on cognitive science perspectives that inform human-centered aspects of ML research.
code10 years of coding experience
job1 year of employment as a software developer
bookAustralian National University
bookCognitive Science, Cognitive Science at Umeå universitet
bookMaster's degree, Mathematics, Master's degree, Mathematics at Stockholm University
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Stackoverflow

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Github Skills (32)

causality10
networkx10
directed-acyclic-graph10
statsmodels10
kernel-methods10
causal-inference9
graphical-models9
gymnasium9
decision-making9
graphviz9
q-learning9
python8
reinforcement-learning8
visualization8
machine-learning7

Programming languages (3)

Jupyter NotebookPythonEmacs Lisp

Github contributions (5)

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Contributions:193 pushes, 4 branches in 2 years 10 months
causalincentives/cid-latex

Jan 2021 - Jan 2021

Contributions:12 commits, 10 pushes, 2 branches in 15 days
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Tom Everitt - Staff Research Scientist at DeepMind