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  • NVIDIA
  • Cincinnati, OH

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@conda-forge
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grlee77/README.md

Hi there, I am Greg Lee πŸ‘‹

πŸ’» I am a software developer at NVIDIA who works on open source scientific software.

πŸ”¬ I am a core maintainer of scikit-image, SciPy and PyWavelets and contributor to many other scientific software projects.

πŸ’₯ I co-created the RAPIDS cuCIM project for GPU-accelerated image processing via a scikit-image compatible API. This relies on the excellent CuPy project.

🧠 Python has a number of nice neuroimaging-focused projects. Dipy, nibabel and nipype were some of the first packages I worked with when I was new to Python.

🏫 I have a doctorate in biomedical engineering and worked for a number of years as a researcher in magnetic reonance imaging (MRI). I have a general interest in the area of medical imaging and image processing.

πŸ’¬ Ask me about contributing to open source projects or how you can accelerate your image/data analysis workflows.

Pinned

  1. PyWavelets/pywt PyWavelets/pywt Public

    PyWavelets - Wavelet Transforms in Python

    Python 1.9k 451

  2. scikit-image/scikit-image scikit-image/scikit-image Public

    Image processing in Python

    Python 5.9k 2.2k

  3. cupy/cupy cupy/cupy Public

    NumPy & SciPy for GPU

    Python 7.9k 776

  4. mritools/mrrt.nufft mritools/mrrt.nufft Public

    Non-Uniform FFT on the CPU and GPU (1D, 2D and 3D)

    Python 13 5

  5. rapidsai/cucim rapidsai/cucim Public

    cuCIM - RAPIDS GPU-accelerated image processing library

    Jupyter Notebook 313 54

  6. mritools/mrrt.mri mritools/mrrt.mri Public

    MRI reconstruction tools on CPU and GPU

    Python 11 2