Aidan Scannell

Los Altos, California, United States
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Summary

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Senior
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Aidan Scannell is a research-oriented machine learning scientist with 10 years of experience bridging robotics, model-based reinforcement learning, and generative world models. Currently a Research Associate at the University of Edinburgh, he works on multimodal RL, leveraging Transformers, diffusion models, and common-sense knowledge from LLMs/VLMs to build richer world models. Previously a postdoc at Aalto he investigated uncertainty-aware model-based RL and co-lectured courses on reinforcement learning and Gaussian processes, combining deep learning with probabilistic methods. His PhD in Robotics and Autonomous Systems and background in mechanical engineering give him a practical systems perspective alongside strong theoretical grounding. Colleagues describe him as someone who thrives at the intersection of Bayesian methods and scalable neural architectures, often translating academic advances into robotic and autonomous-system experiments.
code10 years of coding experience
job8 years of employment as a software developer
bookA Levels: Chemistry A*, Maths A*, Physics A*, A Levels: Chemistry A*, Maths A*, Physics A* at Ripon Grammar School
bookDoctor of Philosophy - PhD, Robotics and Autonomous Systems, Doctor of Philosophy - PhD, Robotics and Autonomous Systems at University of Bristol
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Github Skills (35)

bayesian-statistics9
representation-learning9
gaussian-processes9
gpflow9
jit8
jax8
stochastic-processes8
gpu8
robotics8
variational-inference7
machine-learning7
self-supervised-learning7
tensorflow7
latex7
deep-learning6

Programming languages (4)

TeXHTMLJupyter NotebookPython

Github contributions (5)

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📝 Easily create a beautiful website using Academic, Hugo, and Netlify
Contributions:86 pushes, 1 branch in 2 years 6 months
hugojamstacknetlifyhugo-themestatic-site-generator
Contributions:125 pushes, 2 branches in 2 years 9 months
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