Skip to content
You must be logged in to sponsor adam2392

Become a sponsor to Adam Li

@adam2392

Adam Li

adam2392
United States

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 work

  1. mne-tools/mne-python

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

    Python 2,663
  2. mne-tools/mne-connectivity

    Connectivity algorithms that leverage the MNE-Python API.

    Python 68
  3. mne-tools/mne-icalabel

    Automatic labeling of ICA components in Python.

    Python 89
  4. neurodata/treeple

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

    Jupyter Notebook 61
  5. py-why/dodiscover

    [Experimental] Global causal discovery algorithms

    Python 80
  6. scikit-learn/scikit-learn

    scikit-learn: machine learning in Python

    Python 59,388

Learn more about sponsoring developers and organizations.

Report abuse

Select a tier

$ a month

Choose a custom amount.

$1 a month

Select
  • Monthly coffee sponsor. A coffee helps me pump out improvements to open-source software. Help contribute to this activity.

$5 a month

Select
  • Get a Sponsor badge on your profile

$25 a month

Select
  • Logo or name goes in my project README

$100 a month

Select
  • Logo or name on project website
  • Have your bug reports prioritized

$1,000 a month

Select
  • I'll join your company chat app for help and support