Summary
Matthew Butcher is a Machine Learning Engineer and Ph.D. physicist with 12 years of scientific R&D and industry software experience, currently focused on delivering production ML at QuinStreet. He combines deep domain expertise in modeling complex systems—from geophysical surveys to quantum simulation—with hands-on skills across the full software lifecycle, including high-performance C++/CUDA, Python tooling, CI/CD, and cross-platform GUIs. At UT Austin and Rice he led major releases, cut measurement errors by 70% with statistical modeling, and rebuilt legacy simulations into modern, testable codebases. Equally comfortable prototyping novel algorithms and scaling them into user-facing products, he excels at owning projects end-to-end and translating research advances into practical software that users adopt.
12 years of coding experience
11 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at The University of Texas at Austin
Doctor of Philosophy (Ph.D.), Condensed Matter and Materials Physics, Doctor of Philosophy (Ph.D.), Condensed Matter and Materials Physics at Rice University
Cedar Park High School