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adam2392

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Applied Scientist - Postdoctoral Research Fellow in CS from Columbia U. PhD in BME and MS in Applied Math&Stats from Johns Hopkins U. @scikit-learn core-dev

Funding Links: https://github.com/sponsors/adam2392

GitHub Sponsors Profile

Hey there!
I'm Adam. I'm a core-developer at @scikit-learn, @mne-python, @pywhy-graphs, @dodiscover and maintainer of @treeple.
I'd love to work more on scikit-learn, treeple, and causal inference tutorials! However, that requires me to give up other work and even more time.
Open Source Contributions Summary
I am a BIDS, MNE, and Neurodata team member. I am also a member of the MNE-Python steering committee. Specifically, I am a core-contributor to the following software packages:

Scikit-learn: machine learning in Python
Treeple: A Python package for scikit-learn compatible decision tree models.
MNE-Python: THE Python software package for MEG, EEG and iEEG data analysis, of which I am a core-developer.
MNE-BIDS: A Python package for facilitating formatting and analysis with the Brain Imaging Data Structure (BIDS), which I am a core-team member for EEG and iEEG development.
MNE-Connectivity: A Python package for connectivity analysis using MNE.
MNE-HFO: A Python package for high-frequency oscillation (HFO) detection using MNE.
PyWhy: I am a member of the PyWhy development team, an organization dedicated to open-source causal inference in Python, specifically leading development of pywhy-graphs, dodiscover and pywhy-stats.
PyData/Sparse: I am a developer sponsored by Google Summer of Code 2023 for the Sparse package, developing C++ code to develop a robust numpy-like API for sparse ndarrays.

Featured Works

mne-tools/mne-python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

Language: Python - Stars: 2993
mne-tools/mne-connectivity

Connectivity algorithms that leverage the MNE-Python API.

Language: Python - Stars: 77
mne-tools/mne-icalabel

Automatic labeling of ICA components in Python.

Language: Python - Stars: 104
neurodata/treeple

Scikit-learn compatible decision trees beyond those offered in scikit-learn

Language: Jupyter Notebook - Stars: 82
py-why/dodiscover

[Experimental] Global causal discovery algorithms

Language: Python - Stars: 105
scikit-learn/scikit-learn

scikit-learn: machine learning in Python

Language: Python - Stars: 62613