Bioinformatics &
multi-omics analysis

The question we start with

Which biological changes distinguish our experimental groups?

I start with the experimental design, available metadata and data quality. From there, we agree the comparisons and methods that can address your question, keeping biological replication, technical variation and uncertainty in view.

Methods and areas of expertise

Sequencing and immune-cell data

Bulk and single-cell RNA-seq, scATAC-seq, spatial transcriptomics, immune repertoire and flow cytometry analysis. Depending on the question, the work can include cell annotation, differential expression, immune phenotyping, pathway enrichment and chromatin accessibility analysis.

Metabolomics and lipidomics

Quality assessment, statistical comparisons and visualisation of metabolite and lipid measurements. I examine changes across groups or time points, relate them to pathways and interpret the findings in the context of the experiment, with attention to technical variation and the limitations of metabolite identification.

Multi-omics interpretation

Where study design and sample matching allow, I bring complementary measurements together to investigate how changes in genes, metabolites, lipids and immune populations relate to one another. The aim is a biological interpretation that accounts for what each data type measures and which relationships need further investigation.

What you receive

• A QC assessment and clear record of analytical decisions
• Agreed analyses, annotated figures and result tables
• Written biological interpretation, limitations and suggested follow-up
• A findings discussion and reproducible code where included in scope

The exact inputs, deliverables, fee and milestones are agreed in a written scope before work starts.

Research involving several data types

My work with Carlo Pulitano’s group at the University of Sydney includes transcriptomic, metabolomic and lipidomic data analysis in the context of liver transplants.

View the research example ↗

Published research: lung ILC development

See how I contributed single-cell analysis to a collaborative immunology project.

View the research example ↗

About me

I’m Dr Sophie Curio, a PhD immunologist with research experience at Imperial College London, Harvard Medical School and The University of Queensland, and a current part-time role in Carlo Pulitano’s group at the University of Sydney. I combine experimental context with computational expertise to evaluate what a result supports and what remains uncertain.

More about my background ↗