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Highlights

  • Pro

Organizations

@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.

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 MNE-Python, MNE-BIDS, MNE-Connectivity and contributed to other packages, such as scikit-learn, pyDMD, TVB.

Metrics

Pinned

  1. neurodata/scikit-tree neurodata/scikit-tree Public

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

    Jupyter Notebook 55 12

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

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

    Python 38 7

  3. mne-tools/mne-connectivity mne-tools/mne-connectivity Public

    Connectivity algorithms that leverage the MNE-Python API.

    Python 62 34

  4. bids-standard/bids-specification bids-standard/bids-specification Public

    Brain Imaging Data Structure (BIDS) Specification

    Python 255 150

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

    [Experimental] Global causal discovery algorithms

    Python 59 15

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

    Automatic labeling of ICA components in Python.

    Python 84 14