Andrew Howes
Professor at University of Exeter
Birmingham, England, United Kingdom
Summary
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Senior🎓
Top SchoolAndrew Howes is a cognitive scientist and professor who builds AI systems that infer and cooperate with human goals and preferences, blending reinforcement learning, deep neural networks, and models of computational rationality. With decades in academia—roles at the University of Exeter, University of Birmingham, Manchester, and Cardiff—he bridges theoretical cognitive modeling and practical machine learning. He collaborates internationally with centers such as Aalto University, the Finnish Center for AI, Bitville, and the Alan Turing Institute, bringing cross-institutional perspectives to human-AI cooperation. His work emphasizes interpretable inference of human intentions rather than black-box optimization, aiming for AI that complements human decision-making. Based in Birmingham and educated in computing at Lancaster, he pairs long-standing experimental expertise with modern ML tooling to tackle real-world human-centered AI problems. An understated strength is his sustained ability to translate cognitive theory into computational systems that can be deployed and evaluated in collaborative settings.
10 years of coding experience
5 years of employment as a software developer
Computing, Computer Science, Computing, Computer Science at Lancaster University
Github Skills (3)
human-computer-interaction8
jupyter-notebook7
python6
Programming languages (2)
Github contributions (5)
howesa/CHI22-CogMod-Tutorial
Jan 2022 - Jun 2022
CogMod-Tutorial is a set of Python Jupyter Notebooks designed as an introduction to cognitive modelling in Human-Computer Interaction.
Contributions:42 commits, 75 pushes in 5 months
human-computer-interactionjupyter-notebookpython
howesa/corati_home
Jul 2022 - Oct 2022
A collection of user models and parameter estimation methods.
Contributions:12 commits, 8 pushes, 1 branch in 3 months
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