Oliver Hoidn
Postdoctoral Scholar at Insight Data Science
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 (20)
plotly6
charts6
webgl6
visualization6
regl5
data-visualization5
python5
javascript5
dashboard4
powder4
deep-learning3
red3
diffraction3
plotly-dash3
charting3
Programming languages (3)
Github contributions (5)
hoidn/BBBcam
Jan 2015 - May 2017
Contributions:14 commits, 43 pushes, 3 branches in 2 years 4 months
hoidn/btx
Apr 2024 - Dec 2024
BeamTime with X-rays - miscellaneous functions for aiding analysis during LCLS experiments.
Contributions:93 pushes, 7 branches in 8 months
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