Noah Wiggin

I am a dedicated and passionate software engineer currently pursuing my Master of Engineering in Computer Science at Oregon State University, where I am honing my skills in machine learning, data science, and parallel programming. My academic journey has been complemented by hands-on experience as a Computational Research Assistant at Fogg Lab, where I developed open-source Python software for automated analysis of 3D microscopy images. My work has been recognized in the publication of computer vision methods in Cellular and Molecular Bioengineering, showcasing my commitment to advancing the field.

Throughout my career, I have successfully implemented innovative solutions that enhance efficiency and accuracy. For instance, I containerized automated analysis pipelines with Docker, reducing installation time across lab servers by 80%. My proficiency in machine learning is demonstrated through the development of a 3-layer variational autoencoder using PyTorch, which improved drug response prediction accuracy. I thrive in collaborative environments and am driven by the desire to leverage technology to solve complex problems.