Deep neurotech competitor analysis
Competitor landscape mapped from peer-reviewed scientific literature—mechanisms, evidence strength, and positioning across the deep neurotech field.
Portfolio
A selection of scientific, educational, and analytical engagements. Client identities are anonymised where required.
Competitor landscape mapped from peer-reviewed scientific literature—mechanisms, evidence strength, and positioning across the deep neurotech field.
Study architecture for a health-supplement evaluation—endpoints, controls, and protocol choices that support credible, interpretable results.
Structured literature review—critical appraisal of the published evidence base to clarify what is known, contested, and still open for investigation.
Authorship and preparation of a peer-reviewed scientific article—from analysis and manuscript structure through to submission-ready scientific writing.
Method and tooling to detect AI-generated reference lists, applied in Dutch university contexts to support academic integrity and scholarly standards.
Research and peer-reviewed article work underpinning a medical doctor’s popular science book—evidence checks, sourcing, and scientific grounding for a wider readership.
Curriculum and learning materials for a health organisation—translating scientific content into a structured programme for professional audiences.
Accessible blog writing that brings peer-reviewed science to a wider audience— clear narrative, accurate framing, and evidence that holds up under scrutiny.
Visual framework for mapping and comparing multiple income streams—turning fragmented financial data into a readable picture of diversification and flow.
Design and development of a subscription-tracking tool—bringing recurring costs and renewal patterns into a clear, actionable overview.
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