Software

Selected open-source tools for physiological signal analysis, machine learning, and scientific workflows. These tools were developed to improve reproducibility, reduce manual effort, and make complex analyses more accessible to researchers.

SAKE

A Python toolkit for organizing and analyzing EEG and LFP recordings.

SeizyML

An interpretable machine learning framework for semi-automated seizure detection and validation.