Aidan Scannell
Research Associate
City of Edinburgh, Scotland, United Kingdom
Summary
👤
Senior🎓
Top SchoolAidan 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.
10 years of coding experience
8 years of employment as a software developer
A Levels: Chemistry A*, Maths A*, Physics A*, A Levels: Chemistry A*, Maths A*, Physics A* at Ripon Grammar SchoolDoctor of Philosophy - PhD, Robotics and Autonomous Systems, Doctor of Philosophy - PhD, Robotics and Autonomous Systems at University of Bristol
Stackoverflow
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Github Skills (32)
pytorch9
python9
gpu9
automatic-differentiation9
gaussian8
jit8
jax8
stochastic-processes8
information-theory8
composable8
machine-learning8
gpflow8
autodiff8
bayesian-statistics7
manifold7
Programming languages (4)
Github contributions (5)
aidanscannell/academic-kickstart
Jan 2020 - Jul 2022
đź“ť Easily create a beautiful website using Academic, Hugo, and Netlify
Contributions:86 pushes, 1 branch in 2 years 6 months
hugojamstacknetlifyhugo-themestatic-site-generator
aidanscannell/PILCO
Oct 2018 - Jan 2020
Implementation of PILCO: A Model-Based and Data-Efficient Approach to Policy Search
Contributions:19 commits, 8 pushes in 1 year 3 months
model-basedapproachpolicy
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