Jun Wang
Algorithm Developer at Applied Materials
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolJun Wang is an Algorithm Developer with 8 years of experience bridging optics, high-performance computing, and applied physics. With a PhD from Stanford and a background in physics from Peking University, he specializes in probing electron dynamics with attosecond light sources while writing high-performance code in Python, Julia, and MATLAB. Currently at Applied Materials after developing precision metrology diagnostics during an internship at KLA, he translates complex experimental problems into production-ready algorithms. Jun’s work sits at the intersection of cutting-edge ultrafast science and scalable computational methods, bringing lab-grade modeling into industrial tooling environments.
8 years of coding experience
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Peking UniversityDoctor of Philosophy - PhD, Applied Physics, Doctor of Philosophy - PhD, Applied Physics at Stanford University
Github Skills (28)
generative10
modeling8
matrix8
spectrum7
heat7
quantum-computing7
electrical-engineering6
machine-learning6
digital-signal-processing6
pytorch6
quantum-algorithms6
extensible5
photonics5
core-library5
chemical-engineering5
Programming languages (4)
Github contributions (5)
congzlwag/UnsupGenModbyMPS
Sep 2017 - Oct 2020
code for Unsupervised Generative Modeling using Matrix Product States
Contributions:18 commits, 1 PR, 13 pushes in 3 years 1 month
pytorchmatrix-product-statesunsupervisedgenerative-modelinggenerative
congzlwag/spook
Dec 2021 - Nov 2022
Spooktroscopy package containing various versions of spooktroscopy classes
Contributions:15 releases, 1 review, 110 commits in 11 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.