Welcome to my Github profile! If you are a recruiter or hiring manager interested in my coding ability and style, please contact me via email for a code sample (tim@bakertim.com). Most of my recent work is hosted on private Gitlab repositories, but I would happy to share. An older code sample can be found in this repo.

I'm currently developing computer vision pipelines using machine learning and deep learning. Recent applications include segmenting large medical images (100,000+ voxels) with U-Net architectures and registering these same medical images using the Elastix image registration toolkit. I enjoy working with large 3D image data and overcoming challenges with processing time, visualization, noisy labels, and class imbalance.

MONAI is an open-source deep learning library for medical image analysis built on top of PyTorch. I have used MONAI's Data and Transformation modules extensively in my work. I am excited to give back to this project by contributing new features and tutorials. For example, I am drafting a guide for overcoming the challenge of integrating MONAI, PyTorch Lightning, and Weights and Biases while deploying on a SLURM cluster with multi-GPU training. In other news, my first MONAI pull request was merged in February 2024 :)