Mike Battye
Portfolio
Industrial Experience
Assystem Data Services
Contributed to data-driven solutions in the nuclear and energy sectors, focusing on data as a source of value through advanced analytics and platform development.
Key Impact: Enhanced operational performance by integrating AI and digital twins for predictive modeling, automation, and data optimization in complex nuclear environments, reducing execution times, anticipating failures, and improving traceability—directly supporting Sellafield's site remediation and AXIOM's collaborative engineering efforts.
Supporting References: Assystem's involvement in the AXIOM JV (with partners like Amentum and Mott MacDonald) has been key to Sellafield's £9 billion+ nuclear clean-up framework since 2012, emphasizing collaborative design and digital innovation. Their digital twin projects, such as those developed with Altair for nuclear plants, enable real-time simulations and structural integrity assessments. Sellafield's AI strategy highlights enterprise-wide adoption for smarter decision-making and automation, aligning with Assystem's AI center of excellence.
“The digital transition is all about data abundance and diversity. While you have to be able to structure and interpret your data in order to use it for improved industrial performance, you must also be able to listen to the business line and understand the strategic and technical issues in order to propose high-impact digital solutions with considerable added value.”
Deep Learning Contouring for Medical Imaging Software (DLCExpert)
Instrumental in curating and training DLCExpert models for automated organ contouring in radiation oncology, improving accuracy and efficiency in medical imaging workflows. This deep learning-based system has been evaluated in multiple clinical studies for its effectiveness across radiotherapy centres.
Key Impact: Reduced contouring time while maintaining high precision for critical structures.
Supporting Research: A study in Physics and Imaging in Radiation Oncology (2022) found that DLCExpert achieved clinically acceptable contours with minimal edits in real-world thoracic cases. Another evaluation across multiple centers highlighted its consistency, noting “the effectiveness of DLC for prostate and head and neck across four radiotherapy centres.”
“DLCExpert has been shown to bring previously unseen quality and consistency to the task of contouring critical structures for radiation treatment planning.”
Personal & Freelance Projects
BitViz: Bitcoin Visualisation Tool
An interactive tool for visualising Bitcoin blockchain data, providing insights into transactions and network dynamics.
Assize: Decentralised Content Moderation
Developed a framework for moderating social media content that democratises, incentivises, and scales the moderation of unwanted or illegal content using decentralised technologies.
Data Info Sites
PhD Research – Digital Twins for Fusion Energy
Advanced Digital Twin Development for Tokamak Divertors (PhD Research in Progress)
Focused on integrating AI, simulation, and real-time data platforms to model plasma-facing components in tokamaks.
Goal: Improve component lifetime and advance practical fusion power.
This work combines machine learning with high-fidelity simulations to predict and optimise fusion reactor performance. Full technical details and interactive demos available upon request or after thesis completion.
Publications
Digital Twins in Fusion Energy Research: Current State and Future Directions
Skills & Tools
- Programming: Python, SQL, Bash/Unix scripting
- Containerisation: Docker, Kubernetes
- AI/ML: Proficient in AI-native development, deep learning models
- Data Services: Building user interfaces and backends for data projects
- Other: Full-stack integration, digital twins, fusion energy simulations