Douglas Wong
Applied Scientist II at Amazon
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolDouglas Wong is an applied scientist at Amazon specializing in recommender systems, with a decade of experience combining machine learning and experimental physics. He developed a patent-pending Bayesian algorithm at Toyota that models individual customer price sensitivity and feature-level substitution for vehicle configurations, and previously contributed to precision measurements in experimental nuclear physics during a PhD at Indiana University. A Department of Energy SCGSR awardee who worked on the neutron electric dipole moment at Los Alamos, he brings rigorous experimental design and statistical modeling to production ML problems. Based in Seattle, he translates complex physics intuition into practical, data-driven systems and cares about clean, well-reasoned solutions. Off the clock he’s an obsessive home chef who even imported an industrial noodle machine after breaking three manual ones—evidence of the same persistence he applies to modeling and engineering challenges.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Indiana University BloomingtonBachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Yale University
Github Skills (10)
simulation8
sampling7
python7
adc5
environmental5
unlock5
environmental-monitoring2
system-monitoring2
monitoring2
iot2
Programming languages (4)
Github contributions (5)
dougUCN/LANE-client
May 2022 - May 2023
Client for LANE, the Los Alamos Neutron EDM main control system and environmental monitoring system
Contributions:30 reviews, 12 PRs, 86 pushes in 11 months
alamosenvironmentalenvironmental-monitoringloslane
dougUCN/PENTrack
May 2018 - Sep 2021
PENTrack - a simulation tool for ultra-cold neutrons, protons and electrons
Contributions:2 PRs, 58 pushes, 13 branches in 3 years 4 months
neutronspythonsimulation-toolsimulationcold
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