Open-source software
I build and maintain tools for researchers working with brain signals and neuroimaging data, and contribute to shared projects in the Python neuroscience community.
Artifact suppression and signal denoising for EEG and MEG, with NumPy and MNE-Python integration.
For researchers cleaning brain-signal recordings who need complementary denoising methods within their Python analysis workflows.
Role: Co-Creator & Core Maintainer
Status: Under active development
In my research
Turns brain signals into interpretable results through reproducible analyses, model comparisons, and automated reports.
For researchers combining signal processing and machine learning, with reusable steps for feature extraction, model evaluation, and reporting.
Role: Creator & Maintainer
Connects brain coordinates and atlas regions with anatomical labels and related neuroimaging studies.
For neuroimaging researchers interpreting coordinates or regions, with Python and command-line workflows for atlas lookup and literature queries.
Role: Creator & Maintainer
In my research
Python tools for exploring, visualizing, and analyzing human neurophysiological data.
For researchers analyzing EEG, MEG, and related recordings, from preprocessing to source estimation. My contributions include source-estimate processing, covariance estimation, and bug fixes.
Role: Contributor
JAX-based Adaptive Mixture Independent Component Analysis (AMICA) in Python, integrated with MNE-Python.
For researchers using independent component analysis to separate sources in brain-signal recordings, especially EEG.
Role: Contributor
