Philosophy

We are a welcoming, data-driven lab that values clarity, kindness, and rigor. Whether you join us as a student, postdoc, or collaborator, you should know what it feels like to work here and how we look after one another.

We organise our culture around a handful of promises. They keep the day-to-day approachable and make the bigger ambitions believable.

What Anchors Our Lab

Evidence guides every decision

Data, validated methods, and constructive peer review shape our conclusions. When the evidence changes, so do our plans.

Curiosity is key

We choose questions that spark excitement and move the field. Weekly progress might be incremental, but the arc should stay energising.

Everyone is welcome

Respect is non-negotiable; ideas stand on their own merits. Everyone gets room to contribute and to be heard.

Collaboration comes with accountability

Shared projects mean shared credit, clear updates, and transparent ownership of next steps.

Reproducibility is mandatory

We document what we do, clean our data and code, and share when policy and consent allow. If someone else cannot repeat it, it is not finished yet.

How We Support You

Clear expectations, regular feedback, and concrete next steps for growth.
Documented protocols, validated analysis tools, and mentorship at every stage.
A psychologically safe space where questions are expected and mistakes become lessons.
Protected time for learning new skills, presenting your work, and planning what comes next.

What We Ask of You

Stay curious, careful, and candid; especially when the data is surprising.
Plan your work, communicate early, and reach out before you feel stuck. We are all here to learn.
Respect teammates’ time, materials, and boundaries; give feedback that is direct and kind.
Discuss science, challenge ideas; science thrives on debate when it is constructive.
Treat safety, data integrity, and inclusion as part of every experiment, not a side note.

Our aim is simple: do excellent science that stands up to scrutiny, share it openly, and grow as scientists and colleagues along the way.