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Aidan Scannell · Oct 24, 2023

Experience

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Aidan Scannell · Aidan Scannell

Experience

  1. Research Scientist

    Toyota Research Institute

    World models | policy learning | policy evaluation

  2. Research Associate

    University of Edinburgh

    Investigating methods and architectures for learning generative world models for sequential decision-making.

  3. Postdoctoral Researcher

    Aalto University

    Worked on world models, RL, and decision-making under uncertainty. Two first author publications at ICLR.

Education

  1. PhD Robotics & Autonomous Systems

    University of Bristol, UK

    Thesis on Bayesian Learning for Control in Multimodal Dynamical Systems. Supervised by Prof. Carl Henrik Ek & Prof. Arthur Richards.

    During my PhD I developed methods for controlling quadcopters in uncertain environments by synergising methods from probabilistic machine learning, stochastic differential geometry and reinforcement learning.

    First Class Honours during taught MRes year.

    Read Thesis
  2. MEng Mechanical Engineering

    University of Bristol, UK

    First Class Honours

Awards

Awarded 300k GPU Hours

LUMI ∙ June 2024

Awarded 300k GPU hours by LUMI Supercomputer for “Sample-efficient Large-scale Reinforcement Learning”

Awarded CDT Scholarship (MRes+PhD)

University of Bristol ∙ June 2017

Awarded a four-year PhD scholarship at University of Bristol with the FARSCOPE Center for Doctoral Training.

Read the original on aidanscannell.com

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