Home What I Offer Projects Tools & Platforms Blog About Book Intro Call Describe Your Project
Research Intelligence · Bibliometrics · AI

The data infrastructure behind
smarter research investment

I build the analytical systems and evidence base that major research organisations use to evaluate portfolios, identify strategic gaps, and demonstrate impact - from automated pipelines processing millions of records to AI-driven tools that transform how teams work.

Working with
Find your starting point

Your board is asking what your research investment has achieved

You need to demonstrate the impact of years — or decades — of funding decisions. Not just 'what did we fund?' but 'what difference did it make, and how do we prove it?'

You're shaping a research strategy and need to see the whole field

You want a data-driven picture of where the research is, who's doing it, and where the gaps are — so your next strategy is built on evidence, not assumptions.

You want your team to do this kind of analysis independently

You're tired of expensive subscriptions and one-off reports that expire. You want tools and infrastructure your team can operate, built on open data, with no vendor lock-in.

Built for research organisations.
Not a generic consultancy.

I've spent years inside research organisations. I understand how funding decisions get made, what different internal and external audiences need to see, and what evidence is needed every step of the way. Every engagement starts from your strategic question, not from a methodology looking for a problem.

1

Start with the question

What do you need to know? What decision does this inform? I work backwards from your strategic need, not forwards from a dataset.

2

Assemble the evidence

I draw on open data infrastructure and advanced data science techniques, which are tailored to your question.

3

Build what's needed

Sometimes it's a one-off analysis. Sometimes it's a tool your team will use for years. I build useful things, from automated pipelines to interactive dashboards to strategic reports.

4

Quality-check the evidence

I run a formal QA stage before conclusions are final. This includes independent review by trusted external experts in my network (under NDA), structured data validation checks, sample-based manual review, and clear reporting of confidence and limitations.

5

Make it actionable

Analysis only matters if it changes decisions. I present findings in ways that boards, strategy teams, and researchers can actually use — not just technically accurate, but strategically clear.

Trusted by research leaders
How the work comes together

Strategic analysis and technical infrastructure, shaped by your question. Here's how the pieces fit.

Portfolio Evaluation

Comprehensive analysis of research investments across decades. Grant-to-paper matching, researcher career tracking, leveraged funding, and downstream impact assessment at scale.

Bibliometrics OpenAlex Grant matching

Landscape & Gap Analysis

Mapping entire research fields to identify strategic opportunities. Bibliometric landscapes that reveal where gaps exist and where investment could be transformative.

Field mapping Strategic foresight

AI-Powered Research Tools

Custom-built tools using LLMs, RAG, and semantic search. Automated peer-reviewer matching, portfolio classification, and intelligent document analysis systems.

RAG LLMs Vector search Python

Open Data Infrastructure

Building pipelines that process hundreds of millions of records from open sources — OpenAlex, patent databases, grant registries — with no proprietary dependencies. See the patent-to-publication pipeline →

OpenAlex Patent data ETL pipelines

Let's talk about what your
data could tell you.

Whether it's a portfolio evaluation, a strategic landscape, or an AI-powered tool — I'd welcome a conversation about what you're trying to achieve.