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Organizations

@scikit-learn @mne-tools @conda-forge @ncsl @NeuroDataDesign @bids-standard
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adam2392/README.md

Adam Li, PhD

Pronouns: he/him

Employment

2022-Present

Executive Summary

At the Causal AI Lab, I am a Computing Innovation Research Fellow funded by the NSF. I am working at the intersection of neuroscience and causal inference.

My causal inference research interests are in structure learning and causal estimation in equivalence classes and their relations to neuroscience. More broadly, I develop theoretically grounded neural networks capable of understanding the causal relationships between latent factors within images, or text.

2015-2022

Executive Summary

At Johns Hopkins University, I was a NSF Graduate Research Fellow, Whitaker Fellow, Chateaubriand Fellow and ARCS Chapter Scholar. My research interests were in computational neuroscience, epilepsy, statistical machine learning, dynamical systems and control theory.

Skills

  • Python Expert
  • MATLAB Expert
  • Cython and C++ Proficient
  • R Beginner

Open-Source Summary

I am a core-contributor to scikit-learn, Py-Why, MNE-Python, MNE-BIDS, MNE-Connectivity and contributed to other packages, such as pyDMD, TVB.

Metrics

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  1. scikit-learn/scikit-learn scikit-learn/scikit-learn Public

    scikit-learn: machine learning in Python

    Python 58.9k 25.2k

  2. neurodata/treeple neurodata/treeple Public

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

    Jupyter Notebook 55 13

  3. py-why/pywhy-graphs py-why/pywhy-graphs Public

    [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.

    Python 42 7

  4. mne-tools/mne-connectivity mne-tools/mne-connectivity Public

    Connectivity algorithms that leverage the MNE-Python API.

    Python 66 34

  5. py-why/dodiscover py-why/dodiscover Public

    [Experimental] Global causal discovery algorithms

    Python 74 16

  6. mne-tools/mne-icalabel mne-tools/mne-icalabel Public

    Automatic labeling of ICA components in Python.

    Python 87 14