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Overview


Note: I am working on restructuring the navigation layout in order to better reflect the current state of the projects!


Building on high‑quality database curation, targeted querying & visualisation, and LLM‑driven tooling for automated deep insight, here I showcase data products that aim to translate genomic information into strategic value, spanning both:


Market Intelligence in Genomics

The genomics landscape, spanning academic research, pharma/biotech and oncology, is evolving quickly.
I have been developing projects that model sequencing costs, map researcher & technique networks, forecast oncology demand, and scout emerging technologies:


Cost models
Annual & cumulative by sequencing platform
Research landscape
Linking researchers, techniques & institutes
Oncology demand
Based on incidence and budget projections
Tech scouting
Roche SBX cost‑throughput case study

Translational / Oncology Data Platforms

Precision medicine relies on integrating genomic findings with clinical insights and institutional data.
I have been developing projects that bring these layers together in platforms designed to accelerate oncology research and inform data‑driven decisions:


Unified oncology datasets
Targets, gene expression & incidence linked
Conversational search
Natural language to evidence‑based answers
Clinical events extraction
Progression & survival signals from notes
Interactive dashboards
Shareable visuals for rapid insight


PythonWeb ScrapingNeo4jPrompt EngineeringPineconeWeb ScrapingPostgreSQLAWS/GCPData VisualizationPolarisPubMedMIMIC-IVENAHugging FaceGraphDBModel Benchmarking