MonStim Analyzer — Project Write-up
Published:
A production PyQt6 desktop application for processing, visualizing, and analyzing 100+ GB multi-channel electrophysiological datasets — reducing lab analysis time by ~80%.
Published:
A production PyQt6 desktop application for processing, visualizing, and analyzing 100+ GB multi-channel electrophysiological datasets — reducing lab analysis time by ~80%.
Published:
Adapting and publishing a MATLAB spatial interpolation toolkit as the open-source, reproducible analysis pipeline for a peer-reviewed eLife study on spinal interneuron distributions.
Published:
A companion PyQt6 application for automated, reproducible generation of publication-quality EMG trace figures — turning a half-day manual task into a 10-minute batch job.
Published:
A normalized SQLite database built on PubMed open data, with a Python ETL pipeline and five analytical SQL queries mapping publication trends in spinal neuroscience.