Overview
This portfolio presents data products and analytical platforms designed to transform large-scale molecular and clinical data into actionable insights for research, diagnostics, and decision-making in pharma/biotech.
By combining high-quality database curation, structured querying and visualisation, and LLM-driven tooling, these projects address questions around cost, adoption, platform evaluation, and clinical relevance, with a particular focus on oncology.
Market Intelligence in Genomics
The genomics landscape across academic research, pharma/biotech, and oncology is evolving rapidly, driven by shifting cost structures, emerging technologies, and changing patterns of adoption.
The projects in this section focus on decision-oriented analytics, including the modelling of sequencing costs, mapping of researcher and methodology networks, forecasting demand, and systematic evaluation of emerging sequencing technologies.
Annual & cumulative by sequencing platform
Linking researchers, techniques & institutes
Based on incidence and budget projections
Roche SBX cost-throughput case study
Translational / Oncology Data Platforms
Precision medicine depends on the effective integration of genomic findings, clinical data, and institutional context.
The projects in this section explore how these layers can be brought together into reusable data platforms that support oncology research and data-driven decision-making, ranging from curated relational datasets to conversational querying and longitudinal outcome analysis.
Targets, gene expression & incidence linked
Natural language to evidence-based answers
Progression & survival signals from notes
Shareable visuals for rapid insight