Experience

  1. Research Associate

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

  2. 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
Won the 1X World Model Challenge
1X ∙ October 2025
Won both tracks of the 1X World Model Challenge and presented findings at the ICCV 2025 workshop Learning to See: Advancing Spatial Understanding for Embodied Intelligence.
Awarded 300k GPU Hours
LUMI ∙ June 2024
Awarded 300k GPU hours by LUMI Supercomputer for “Sample-efficient Large-scale Reinforcement Learning”
Funding from Finnish Center of Artificial Intelligence
Finnish Center of Artificial Intelligence ∙ June 2022
Received four-year funding from Finnish Center of Artificial Intelligence to work on ’Model-based Reinforcement Learning under Uncertainty’
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.