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Hi there, I am Greg Lee 👋

💻 I am a software developer at NVIDIA who works on open source scientific software.

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

💥 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.

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

Gregory Lee's Projects

bart icon bart

Berkeley Advanced Reconstruction Toolbox: Image reconstruction toolbox for Magnetic Resonance Imaging

bloch-simulator-python icon bloch-simulator-python

The original bloch equation simulator was a Matlab mex file created by Brian Hargreaves at Stanford University. This modification to run it as a Python C extension

chaco icon chaco

Chaco is a Python package for building interactive and custom 2-D plots.

chainer icon chainer

A flexible framework of neural networks for deep learning

cookie icon cookie

Modern Python Package Cookiecutter

core-nodes icon core-nodes

The core nodes are a collection of basic data manipulation and visualization algorithms.

cupy icon cupy

NumPy-like API accelerated with CUDA

cy_armadillo icon cy_armadillo

A set of cython bindings for using armadillo in cython. This is especially nice for doing GIL free linear algebra.

dask icon dask

Parallel computing with task scheduling

dipy icon dipy

Diffusion MR Imaging in Python

framework icon framework

The GPI framework provides the canvas for graphically assembling algorithms.

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