About

My work sits between nanoscience, neuroscience, energy systems, and AI—alongside data and the implications of nanotechnology. A lot of what I publish first is electrophysiology: chronic neural recordings, signal features, open datasets, and the code that makes them interpretable. I share insights and results from completed projects, experiments, and research, with the emphasis on what I've learned rather than what I'm building day to day.

I care about clarity and usefulness—notes rooted in real experimentation, and an honest look at how new tools and plain engineering discipline both shape how problems get solved.

I'm open to thoughtful collaborations, research partnerships, and conversations around neuroscience, energy systems, sustainable technology, and related data work.