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Simplifying file management, simulation setup, and scientific data exploration for fusion researchers.
2024-2025
Founding Product Designer
I worked in a cross-functional team of around six people: a Product Manager, CEO, Full-Stack Developer, QA Engineer, and two Backend Developers. Product priorities were primarily defined by the Product Manager.
Researchers worked across disconnected files, parameters, and specialist tools, making simulation setup and data exploration difficult to follow.
As the Founding Product Designer, I translated technical requirements into the product structure, core workflows, and reusable interface patterns.
I designed a unified workspace for managing files, configuring simulations, tracking status, and exploring scientific results.
The product established a scalable foundation for researcher workflows and supported demonstrations to scientific and business stakeholders.
• Gold Winner — Vega Digital Awards 2024 (Science & Technology).
• Bronze Winner — Summit International Awards 2025.
• Strategic Funding Catalyst: Designed a professional-grade interface that helped secure key R&D funding by demonstrating commercial scalability in a $10B+ market.
Researchers moved repeatedly between datasets, simulation settings, status tracking, and analytical results. I mapped this workflow to identify where the product needed clearer structure and feedback.
expert interviews
workflows reviewed
core product areas
major iterations
Files, parameters, and simulation states were spread across separate tools and views.
Configuration errors could interrupt the workflow or require repeated work.
Researchers valued compact, precise information more than simplified consumer-style interfaces.
Users needed to understand how parameters, files, and outcomes were connected.
Research revealed two user profiles with different levels of expertise but a shared need for clearer setup, reliable feedback, and understandable results.
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The storyboard helped align the team around the core researcher journey and identify where users needed clearer guidance, system feedback, and continuity between steps.
I structured the product around the objects researchers worked with most frequently: projects, files, simulations, scenarios, graphs, and analytical notebooks.
For the first release, I prioritised the workflows that formed the foundation of every scientific task.
I used wireframes to validate the structure of the most complex workflows before moving into high-fidelity design.
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Early wireframes helped validate hierarchy, parameter grouping, and system feedback before moving into high fidelity.
I designed a responsive workspace that brought uploaded files, saved outputs, graphs, and digital twins into one clear starting point.
Researchers could quickly switch workspaces and access the tools relevant to their current project across desktop and mobile.
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I designed a central workspace where researchers could upload, organise, inspect, and reuse files across simulations. Clear metadata and file states helped users understand which inputs were ready, incomplete, or already connected to a simulation.
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Clear file states and metadata reduced uncertainty about which inputs were ready, incomplete, or already connected to a simulation.
Simulation setup involved multiple parameters and dependencies. I grouped related settings, introduced a clearer sequence, and surfaced validation before launch.
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Making simulation status and history easier to track
I designed a simulation list that helped researchers distinguish draft, queued, running, completed, and failed states without opening each item.
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I designed a visual mapping workspace that helped researchers understand relationships between datasets, parameters, and simulation outputs.
Selection states and contextual details allowed users to inspect complex connections without losing the broader structure.
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I designed a results workspace that brought simulated and experimental data into one view.
Researchers could customise visualisations, compare outputs, identify deviations, and understand how parameter changes affected results.
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I created reusable patterns for dense tables, file states, simulation statuses, parameter inputs, graphs, and system feedback.
The design system helped maintain consistency across complex workflows and provided the engineering team with reusable implementation patterns.
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Files, simulations, statuses, graphs, and analysis tools were organised into one consistent workspace
Reusable components and interaction patterns supported new workflows without redesigning the interface from scratch.
The project received recognition from the Vega Digital Awards and Summit International Awards.
Reusable patterns improved consistency across complex product areas and developer handoff.
Designing Fusion Twin required learning enough about the scientific domain to simplify the workflow without removing the precision experts depended on.
Complex products do not always need less information. They need better structure, clearer relationships, and predictable states.