CV

CV generated from site data; download the PDF for the full version.

Contact Information

Name Jess Jones
Professional Title PhD candidate, Robotics & Autonomous Systems
Email jess.jones@bristol.ac.uk
Phone +44 7876 116588
Location , Bristol, England
Website https://jessj0nes.github.io

Professional Summary

PhD candidate at the University of Bristol with a First Class BSc in Computer Science. Interested in deep learning, multi-agent reinforcement learning, and vision-based computing for robotics and trustworthy analysis of online content. Background combines research engineering with leadership in hospitality and an indoor farming start-up.

Experience

  • 2024 -

    Developer & Researcher
    CASM Technology
    Tools using foundation models and machine learning for analysis of social media, misinformation, and harmful content.
    • Research and development on NLP and ML systems for real-world audit and safety workflows.
  • 2022 - 2022

    Bristol, UK

    Research intern
    University of Bristol — High Performance Computing Group
    Eight-week summer internship benchmarking MGCFD-OP2 on Arm architectures.
    • Benchmarked ThunderX2, Graviton 2, and Graviton 3.
    • Released mgcfd-op2 and babelstream packages to the Spack repository.
  • 2023 - 2023

    Full-stack software engineer
    Motion Impossible
    Architecture and UI for multi-robot camera dolly control.
    • Designed system for simultaneous control and interaction of multiple robotic camera dollies.
    • Implemented networking for one-to-one, one-to-many, and many-to-many device interactions.
  • 2020 - 2021

    Developer & Researcher (summers)
    CASM Technology
    Summer placements supporting PhD-level NLP research and fact-checking systems.
    • Custom entity linking in an automated fact-checking pipeline.
    • Research contributing to a UK Cabinet Office report on technologies for operational delivery.
  • 2017 - 2019

    Owner & Director
    Herb & Bloom
    Indoor vertical farming start-up operating as a PLC.
    • Established and ran day-to-day operations and management of the business.
  • 2014 - 2017

    Operations Director
    Cubitt House
    Premium pub and hotel group (~£14m turnover).
    • Operational delivery across sites, performance, procurement, and strategic planning.

Education

  • 2023 - 2027

    Bristol, UK

    PhD
    University of Bristol
    Robotics & Autonomous Systems
    • FARSCOPE Centre for Doctoral Training.
  • 2020 - 2023

    Bristol, UK

    BSc (First Class Honours)
    University of Bristol
    Computer Science
    • Hargrave Prize for best final-year BSc thesis.
    • NAG HPC Student Prize (second highest accreditation, HPC programme).
    • Netcraft Prize (top ten second-year cohort).

Awards

  • 2023
    Hargrave Prize
    University of Bristol

    Best final-year undergraduate thesis on the BSc Computer Science programme.

  • 2023
    NAG HPC Student Prize
    University of Bristol / NAG

    Second highest accreditation on the High Performance Computing programme (2023).

  • 2022
    Netcraft Prize
    University of Bristol

    Awarded to the top ten second-year Computer Science students (2022).

Publications

Skills

Languages (): C, C++, C#, Python, Java, Go, Haskell, SQL
Tools & frameworks (): PyTorch, TensorFlow, OpenMP, MPI, OpenCL, AWS, Git, Unity, Unreal Engine

Projects

  • MARL framework for abstract communication (DOTS swarms)

    FARSCOPE taught component — multi-agent reinforcement learning for Bristol swarm robotics.

    • Simulation framework for efficient MARL experiments on DOTS robots.
    • Novel paint-mixing scenario testing communication and interpretation.
    • Compared MARL algorithms and network architectures.
  • 3D corallite reconstruction (BSc thesis)

    Volumetric ViT and topological loss for segmenting coral micro-CT data (Hargrave Prize).

    • UNet–ViT pipeline on volumetric inputs; Blender API for interactive 3D analysis.
  • Lattice–Boltzmann HPC (NAG prize project)

    Distributed CFD mini-apps with OpenMP, MPI, and OpenCL (NAG HPC Student Prize).

    • Architecture-specific optimisations, multi-node scaling, GPU offloading.

References

  • Prof. Sabine Hauert, OBE

    PhD supervisor, University of Bristol — sabine.hauert@bristol.ac.uk

  • Prof. Raul Santos-Rodriguez

    PhD supervisor, University of Bristol — enrsr@bristol.ac.uk

  • David Weir

    Director, CASM Technology — davidw@casmtechnology.com