Elizabeth Hines
R&D Data Scientist
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolElizabeth Hines is an R&D Data Scientist with 12 years of experience who transitioned from experimental high-energy physics to advancing home WiFi at eero. She applies rigorous statistical and machine learning techniques—honed while contributing to ATLAS and developing boosted decision tree analyses—to optimize wireless performance and reliability. Her background includes building C++/Python frameworks for 100 TB-scale distributed analysis and leading detector commissioning efforts that improved simulation accuracy and feature selection used across large collaborations. At eero she focuses on pushing the bounds of WiFi through measurement-driven R&D and scalable tooling. Based in San Francisco, she brings a blend of hands-on systems engineering, physics-rooted problem solving, and a track record of turning complex experimental insights into production-ready solutions. Notably, her work bridges low-level hardware characterization and high-level data science, enabling tangible improvements in consumer networking.
12 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at University of PittsburghDoctor of Philosophy (Ph.D.), Experimental High Energy Physics, Doctor of Philosophy (Ph.D.), Experimental High Energy Physics at University of Pennsylvania
English, French
Github Skills (2)
javascript9
open-source9
Github contributions (5)
ehines623/ExData_Plotting1
Jan 2015 - Jan 2015
Contributions:11 pushes in 1 day
data-analysispythonexploratoryplottingexploratory-data-analysis
UPenn-SUSY/PennSUSYFrame
Mar 2014 - Nov 2014
Contributions:47 commits in 8 months
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