Closed-loop neuroscience, and other things

I study how the brain responds to electrical stimulation, and how to make that stimulation smarter. My work sits at the intersection of neuroscience, control theory, and simulation: building models of neural tissue, designing algorithms that adapt in real time, and trying to understand what “closing the loop” between brain and device means in practice.

Most of my time goes into modelling deep brain stimulation, from the finite-element detail of how current spreads through tissue to the conductance-based dynamics of the neurons it touches, and using that to design control strategies that respond to the brain rather than just talking at it. I write a lot of Python and NEURON code, and I care about making that code reproducible, not just functional.

Alongside the research, I’ve taught, supervised students, and raised over €200,000 in competitive funding to keep this kind of work going.

If you’re working on a DBS, computational neuroscience, or neural modelling problem and want a second pair of eyes, I take on consulting, technical support, tutoring, and methods review. Get in touch.