Technical and scientific expertise
The methods this work actually uses — described by what they involve, not scored on a scale. There are no proficiency bars on this page, because they would not tell you anything.
Genomics
Cancer genome sequencing
Whole-genome, whole-exome and targeted panel analysis, from raw reads through alignment, variant calling and quality assessment.
Somatic variant interpretation
Annotation, tiering and actionability assessment against curated knowledge bases, with evidence levels stated explicitly.
Germline and hereditary analysis
Germline variant calling, ACMG-style classification reasoning, and the family implications that follow from a pathogenic finding.
Copy-number and structural variation
Detection and interpretation of amplifications, deletions, fusions and larger rearrangements — including what a given assay cannot see.
Single-cell and spatial
Single-cell DNA sequencing
scDNA-seq analysis for clonal architecture and subclonal structure — resolving the mixture that bulk sequencing averages away.
Single-cell RNA sequencing
scRNA-seq processing, dimensionality reduction, clustering, cell-type annotation and trajectory inference.
Tumour microenvironment analysis
Characterising immune infiltration, stromal composition and cell–cell interaction from single-cell and spatial data.
Clonal evolution reconstruction
Phylogenetic inference from multi-region and longitudinal sampling, and modelling selection under treatment pressure.
Algorithms and engineering
Algorithm development
Designing and implementing analytical methods for specific biological and clinical questions, rather than applying off-the-shelf tools uncritically.
Pipeline engineering
Reproducible, versioned analysis pipelines with explicit reference management and quality-control gates.
Machine learning for oncology
Supervised and representation learning on molecular and clinical data, with calibration and uncertainty quantification treated as first-class requirements.
Clinical natural language processing
Extraction from pathology narrative, clinic letters and biomedical literature, preserving negation, hedging and temporality.
Translational and clinical
Liquid biopsy and ctDNA
Cell-free DNA analysis, variant allele fraction dynamics, longitudinal trajectory modelling and assay-limit reasoning.
Multi-omics integration
Joint analysis across genomic, transcriptomic, epigenomic and proteomic layers, with batch and platform effects handled explicitly.
Biomarker discovery and validation
Analytical design for discovery and independent replication, with pre-specified validation and honest assessment of stability.
Clinical trial matching
Structured representation of eligibility criteria and molecular profiles, so that search returns relevance rather than volume.
Pharmacogenomics
Star-allele assignment, phenotype prediction and annotation against curated pharmacogenomic guidance.
Genetic counselling
Risk communication, cascade testing discussion and variant interpretation in a family context.