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htwangtw/README.md

Hi there I am Hao-Ting 👋

I am an Assistant Professor in Data Science at the Department of Psychiatry and Djavad Mowafaghian Centre for Brain Health (DMCBH), University of British Columbia. My current research focuses on cognitively informed brain-based biomarker discovery through machine learning. I also work on improving data infrastructure and software engineering in neuroimaging research. I am a core developer of neuroscience and machine learning software Nilearn. My other contributions include, but are not limited to: Brainhack School educational content, NeuroLibre, cca-zoo, the nipy community such as nibabel and pydra.

You can also find me at brainhack events. I organised one with friends: OHBM Brainhack 2022. I am also an instructor and organsizer of Brainhack School.

Please find my full publication records on Google Scholar.

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  1. SIMEXP/fmriprep-denoise-benchmark SIMEXP/fmriprep-denoise-benchmark Public

    Benchmark denoising strategies available from fmriprep.

    Python 16 9

  2. SIMEXP/prevent-ad-benchmark SIMEXP/prevent-ad-benchmark Public

    Benchmarking neuroimaging foundation models (BrainLM, BrainHarmonix) on the PREVENT-AD dataset for downstream prediction of clinical and biological targets.

    Python

  3. nilearn/nilearn nilearn/nilearn Public

    Machine learning for NeuroImaging in Python

    Python 1.4k 654

  4. CV CV Public

    My long academic CV

    BibTeX Style

  5. bids-apps/giga_connectome bids-apps/giga_connectome Public

    generate connectome from fMRIPrep outputs

    Python 12 9

  6. SIMEXP/load_confounds SIMEXP/load_confounds Public archive

    Load fMRIprep confounds in python

    Python 38 12