Steven Walton
Eugene, Oregon, United States
Summary
🤩
Rockstar🎓
Top SchoolSteven Walton is a Ph.D. machine learning researcher focused on designing scalable, efficient neural architectures that push the Pareto frontier between performance, cost, and robustness. With 11 years of experience spanning academia, national labs, and industry internships at NVIDIA and Picsart, he specializes in generative models (diffusion, GANs, normalizing flows), computer vision, and scientific-ML integration. His work has practical impact on high-performance and scientific workflows—e.g., integrating ML into visualization tools and developing mesh/cell metrics for VTK-m—while also exploring synthetic-data strategies to improve model generalization. As a seasoned educator and TA, he has taught and developed coursework on advanced ML topics including GANs, diffusion models, and LLMs. He holds a Ph.D. from the University of Oregon and authored a thesis titled "Smaller, Faster, Cheaper: Architectural Designs for Efficient Machine Learning," reflecting a rare blend of systems-level engineering and theoretical ML research.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of OregonSaddleback CollegeBachelor of Science (B.S.), Bachelor of Science (B.S.) at Embry-Riddle Aeronautical University
Github Skills (200)
photo10
ubuntu10
photo-gallery10
nodejs10
package-manager10
near10
bash10
ruby10
backup10
powershell10
3d-printer10
cnc10
3d-printing10
messenger10
resolver10
Programming languages (18)
Github contributions (5)
stevenwalton/Geant4Tutorials
Jul 2015 - Nov 2017
Contributions:12 commits, 33 pushes, 3 branches in 2 years 4 months
stevenwalton/.dotfiles
Jun 2018 - Mar 2025
Contributions:212 pushes, 2 branches in 6 years 10 months
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