I bring structure to complex, data-driven programmes — making them fundable, deliverable, and built to last.

The situation

Observation data exists — acoustic surveys, sensor streams, satellite imagery — but the data-engineering layer between raw signal and research-ready output doesn't. Scientists end up doing months of pipeline work that isn't their craft, and the science stalls.

What we deliver

The data-engineering layer researchers shouldn't have to build themselves. Architectures, processing pipelines, and analysis-ready outputs that turn raw signal into structured, validated, comparable inputs at the scale modern questions require. EchoSuite is the working example — it removes the dependency on a dedicated scientist for routine acoustic-data analysis, so researchers focus on the science. The same approach applies wherever the science is gated by data infrastructure.

The situation

The ambition is real, the partners are willing, the funding window is open — but the idea isn't yet a proposal. The logic hasn't been made explicit: what exactly are we trying to achieve, what needs to happen for that to work, and who does what? Without that foundation, the application falls apart under review.

What we deliver

We start by making the logic explicit — objectives, assumptions, risks, roles — then build the full proposal around it. We use an AI-supported proposal-structuring tool, built and used in our own work, that holds full proposal logic — LFA, work packages, call requirements — and continuously cross-checks internal consistency. The result is a fundable structure that holds together under scrutiny, not just a well-written document.

The situation

The project is funded and the partners are on board — but no one has built the governance layer. Multi-partner, multi-country programmes drift when roles, reporting, and decision rights aren't explicitly structured from the start.

What we deliver

The structural clarity that keeps complex programmes on track: governance frameworks, reporting architectures, and active coordination across science, industry, and government — so the project delivers what it promised.

The situation

A decision needs to be made — bilateral, regulatory, or operational — but the picture is incomplete. The science says one thing, the industry another, the regulator a third. Someone needs to synthesise across those worlds without losing credibility in any of them.

What we deliver

A clear, evidence-based position at the science–industry–government interface. Concrete formats: bilateral cooperation studies, market scans, policy evaluations, ministry-commissioned strategic memos, and capacity-building programmes — from scans of Norwegian and Scandinavian practices for the Dutch government, to a fisheries-governance training for Cambodian government officials, to a hydro-acoustic research-capacity evaluation for IMROP in Mauritania. Not neutral, but rigorous.