Eric Yeats
Data Scientist
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolEric Yeats is a data scientist with a PhD in computer engineering from Duke and a decade of technical experience blending simulation, signal processing, embedded systems, and machine learning. Now at Pacific Northwest National Laboratory, he applies representation learning and robustness techniques to real-world scientific problems, building on prior DOE-SCGSR research at Oak Ridge where he advanced diffusion generative models for materials science and published at NeurIPS'23. Eric’s background in NEURON simulations and embedded systems gives him a practical edge in translating complex models into deployable tools. He combines rigorous academic training with hands-on intern and research roles, and is particularly skilled at probing DNN feature spaces using generative methods to improve interpretability and robustness.
9 years of coding experience
Doctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at Duke UniversityBachelor of Engineering - BE, Computer Engineering, Bachelor of Engineering - BE, Computer Engineering at Vanderbilt UniversityProgramming languages (1)
Github contributions (5)
yeatsec/RGBLS
Jun 2016 - Nov 2017
Contributions:31 commits, 33 pushes, 1 branch in 1 year 5 months
yeatsec/multiaxon_simulation
Sep 2017 - Jun 2019
Contributions:21 pushes, 1 branch in 1 year 9 months
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