JOÃOCAMPAGNOLO

I am a neuroscientist with a background in Biomedical Engineering and Biophysics. I completed my PhD in Neuroscience at the University of Copenhagen, where I worked in Florence Kermen's lab on the neural correlates of stress resilience in larval zebrafish. My doctoral work combined behavioral assays, whole-brain activity mapping, multivariate statistics, and scientific programming to study how brains recover from acute stress.

Before that, I carried out my master's thesis at EPFL in Pavan Ramdya's lab, where I worked on unsupervised quantification of behavior in Drosophila melanogaster. Across these research settings, I have moved between experiment and computation: behavior quantification, imaging data, machine learning, statistical analysis, and building tools that make scientific questions easier to handle.

I am particularly interested in computational and systems neuroscience, active inference, and machine learning methods applied to biological and biomedical data. I also enjoy independent projects that sit slightly outside my formal research path, from clinical-trial NLP work such as PillProphet to smaller side projects that are somewhere between useful, curious, and unnecessarily committed.

Also: cinema, cycling, football, history, and tennis.