Amanda Baxter

Graduate Research Assistant

West Lafayette, Indiana, United States
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Summary

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Senior
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Top School
Amanda Baxter is a PhD physicist finishing at Purdue University with a decade of experience applying Python-driven data analysis and software development to particle and astroparticle experiments. Her research characterizes single- and few-electron backgrounds in liquid xenon detectors to push sensitivity to light dark matter and has produced a real-time supernova trigger prototype that integrates XENONnT into SNEWS using modern publish-subscribe tooling. Comfortable in Agile teams, she combines large-data analysis, experiment-facing software, and GUI/automation experience from national lab projects to classroom mentorship. She is particularly adept at translating low-level detector behavior into robust analysis selections and operational alert systems, making her equally valuable for scientific software, observatory infrastructure, or aerospace data challenges.
code9 years of coding experience
bookMaster of Science - MS, Physics, Master of Science - MS, Physics at Purdue University
bookBachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Siena College
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Github Skills (1)

supernova4

Programming languages (1)

Python

Github contributions (4)

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kirbybri/femb_udp

Jun 2016 - Aug 2016

Contributions:22 pushes in 1 month
Contributions:4 pushes in 1 day
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Amanda Baxter - Graduate Research Assistant