Oliver Hoidn
Postdoctoral Scholar at Stanford University
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolOliver Hoidn is a postdoctoral scholar and applied scientist with 11 years of experience at the intersection of physics, scientific computing, and machine learning, currently based in Seattle. He combines deep academic expertise—PhD work and multiple publications in x-ray science and reconstruction techniques—with industry experience building production ML systems for Prime Video and data products at VideoAmp. His research blends physics-constrained deep learning and probabilistic mixture modeling for hyperspectral and ptychographic imaging, bridging high-resolution experimental analysis and scalable computational pipelines. Known for hands-on toolbuilding, he has developed distributed real-time analysis stacks for LCLS experiments and even end-to-end hardware/software prototypes for x-ray cameras. That mix of lab-grade instrumentation, Monte Carlo and finite-element modeling, and production ML gives him a rare ability to move problems from experimental data acquisition through sophisticated modeling to deployable solutions.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of WashingtonBachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Harvey Mudd College
Github Skills (22)
imaging9
pytorch7
tensorflow6
visualization6
plotly5
webgl5
javascript4
plotly-dash4
deep-learning4
charts4
data-visualization4
data-analysis4
red3
diffraction3
charting3
Programming languages (4)
Github contributions (5)
hoidn/PtychoPINN
Jul 2023 - Jul 2026
fast, high-resolution lensless imaging in Tensorflow / PyTorch
Contributions:1 review, 3 PRs, 1686 pushes in 3 years
imagingpytorchtensorflow
hoidn/BBBcam
Jan 2015 - May 2017
Contributions:14 commits, 43 pushes, 3 branches in 2 years 4 months
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