Immunology & experimental strategy

Immunology consulting
& experimental strategy

Immunology consulting for academic research groups, biotech and pharma teams developing a research programme, planning experiments or evaluating findings.

Discuss your project

The question we start with

Does our study design address the biological question, and which assays or models should we consider?

I help turn a broad research idea into a testable hypothesis, assess suitable models and readouts, and identify controls and limitations before the study is underway. My wet-lab and computational experience connects experimental planning to how the results will be analysed.

Methods and areas of expertise

Cancer immunology, inflammatory disease, NK cells, innate lymphoid cells and T cells. Experience with flow cytometry, microscopy, cell lines, primary immune cells, organoids and mouse models informs assay and model selection.

What you receive

  • A review of the research question and proposed study
  • Recommendations for models, assays, readouts and controls
  • A written assessment of key limitations and interpretation risks
  • A prioritised experimental plan and discussion with your team

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

A useful first step

Start with a focused review.

Start with a focused study-design review: bring your research question and a non-confidential outline of the proposed approach. We can agree a bounded review before considering ongoing support.

Discuss your project

Relevant published work

My research spans immune-cell development and the role of innate lymphoid cells in cancer.

View the lung ILC research example ↗

Read my review with Gabrielle Belz on ILCs in cancer ↗

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 ↗

Discuss your project

A research question, data type and preferred timeline are enough to start.

Discuss your project