Rare disease and precision medicine
Mechanism, diagnosis, multi-omics, variant evidence
For teams turning patient-level molecular data into defensible clinical, translational, or product evidence.
View profileScientific research from first principles to polished products.
Statistical genomics and epidemiology
Population evidence, inference, cohorts, GWAS, WGS, RNA
For teams analysing large genomic cohorts where statistical evidence has to be reproducible, interpretable, and reusable.
View profileClinical and regulated data infrastructure
Traceability, governance, secure biomedical data
For teams building clinical or translational workflows where data, analysis, and reporting must survive review.
View profileBiomedical software and scientific systems
Tools, platforms, reports, reproducible workflows
For teams that need scientific methods turned into usable software, structured outputs, and maintained systems.
View profileDeep-tech product and evidence strategy
Product judgement, evidence architecture, adoption
For teams turning technical biomedical work into a product, platform, standard, or decision system people can trust.
View profileFrom discovery to delivery
In life sciences, useful products come from a chain of decisions: what biology to trust, what evidence to generate, what method to use, what must be documented, and what users need before they can act. My career has moved through that chain in sequence. My interests focus on a practical view of discovery, evidence, implementation, regulation, and adoption as one connected system.
Experience and collaborations
