Teaching

Teaching students how to think, not just how to take measures.

Alongside my research, I mentor thesis students, teach at university level, and run microscopy and image-analysis training in the lab. My aim is to teach students how to think through a problem, design experiments that can actually answer it, validate their own results, and use the tools with intent — not just follow a protocol step by step.

Teaching interests

Where I focus

Whether it's a student writing their first thesis, a course group meeting confocal microscopy for the first time, or a colleague learning an analysis workflow — these are the three things I keep coming back to.

Research mentorship

The thesis is where most students first meet the gap between 'I have data' and 'I have an argument.' I work through that gap — thesis structure, analysis reasoning, and what it means to decide something from an image.

Thesis structureAnalysis reasoningWorkflow reviewPublication preparation

Microscopy foundations

Most students arrive with a protocol. I try to step back before that — to the question the image is meant to answer, and how acquisition settings either support or undermine it.

FIJI/ImageJ fundamentalsSegmentation techniquesReproducibility workflowsFluorescence quantification

Scientific thinking

Connecting an observation to a testable claim, choosing controls that can actually falsify it, and reading figures critically. Most of this isn't taught explicitly — which is why it's worth teaching.

Hypothesis framingExperimental logicFigure readingScientific communication

Teaching philosophy

Tools matter, but understanding matters more

Start from first principles, not the tools

Every number you measure stands in for a biological claim. A WFA intensity threshold isn't a slider in FIJI — it's you deciding what counts as a denser perineuronal net. So we begin there: state the hypothesis out loud, define what a real effect would actually look like, and only then choose the measurement that could reveal it. The tool comes last, because the question asked for it — never the other way around.

Every step is a decision you must defend

A pipeline is a chain of judgments about the biology — background subtraction, ROI size, the channel that defines colocalization. If you can't say why you made a choice, you haven't made one; you've inherited an assumption. I push students until they can justify each step on its own, because the steps they can't defend are exactly the ones quietly deciding the result.

Work together

Stuck on a thesis, a figure, or a measurement?

I'm always glad to hear from students and early-career researchers — whether it's mentorship, a microscopy question, or an analysis you can't quite defend yet.

Get in touch