Maxwell Grady is a Senior Scientific Software Developer based in Austin with 11 years of experience translating physics research into robust Python applications and user-facing tools. He holds a PhD in Physics from the University of New Hampshire and a background in theoretical physics and applied mathematics from Loyola University Chicago, bringing deep domain knowledge to scientific software problems. At Enthought he progressed from technical support to senior developer, shaping analysis workflows and GUIs for experimental data while maintaining a practitioner’s attention to reproducibility and usability. His research roots include building data analysis pipelines for LEEM/LEED experiments and signal-processing work on cosmic-ray detection, so he’s comfortable with both low-level instrumentation data and higher-level scientific tooling. Maxwell’s career path—St. Louis to Chicago to New Hampshire to Austin—reflects a pattern of following technical communities and opportunities where physics and software intersect. Colleagues appreciate that he pairs academic rigor with practical product thinking, often surfacing design improvements that non-specialists might miss.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science, Theoretical Physics and Applied Mathematics; Physics, Bachelor of Science, Theoretical Physics and Applied Mathematics; Physics at Loyola University Chicago
PHD., Physics, PHD., Physics at University of New Hampshire
PLEASE: The Python Low-energy Electron Analysis SuitE - Enabling rapid analysis and visualization of LEEM and LEED Data.
Contributions:1 release, 255 commits, 8 PRs in 4 years 4 months
data-analysispythonelectronrapidleed
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Maxwell Grady - Senior Scientific Software Developer at Enthought