Arthur Mccray
Postdoctoral Researcher at Stanford University
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolArthur Mccray is a postdoctoral researcher and applied physicist with eight years of experience developing physics-informed machine learning for computational electron microscopy. Based at Stanford after a stint at Berkeley Lab, he focuses on 4DSTEM imaging and ML approaches to inverse problems while maintaining deep hands-on expertise in advanced experimental techniques such as in-situ cryogenic (<20 K) and biasing (S)TEM and magnetic characterization. He bridges fundamental theory and practical imaging challenges, translating computational innovations into experimentally validated workflows. Trained at Northwestern (PhD) and Cornell, Arthur combines a strong background in materials and microscopy with an uncommon fluency in both algorithm development and low-temperature, in-situ instrumentation.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Applied Physics, Doctor of Philosophy - PhD, Applied Physics at Northwestern UniversityBachelor of Arts - BA, Physics and Astronomy, Bachelor of Arts - BA, Physics and Astronomy at Carleton CollegeHigh School, High School at Lakeside School
Github Skills (22)
python10
machine-learning10
deep-learning10
gpu10
numpy9
neural-network9
tensor9
gpu-acceleration9
autograd8
electron8
computer-vision7
vscode5
vscode-extension5
latex3
javascript3
Programming languages (5)
Github contributions (5)
PyLorentz/PyLorentz
May 2020 - Nov 2022
Python code for simulating and reconstructing Lorentz transmission electron microscopy (LTEM) data.
Contributions:12 reviews, 100 commits, 71 PRs in 2 years 6 months
electronpython
Art-MC/py4DSTEM
Feb 2024 - Apr 2025
Contributions:26 pushes, 2 branches in 1 year 2 months
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