Liz Norred
Applied Scientist at Amazon
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolLiz Norred is an Applied Scientist at Prime Video with a decade of experience applying computer vision and deep learning to product-focused problems. She combines a strong research background in synthetic biology and microfluidics with practical ML engineering, specializing in spatiotemporal data, noisy signals, and extracting outsized insights from subtle data patterns. At Amazon she builds vision systems for streaming products, and previously produced predictive models for user monetization and interpretable feature reductions in fast-turnaround consulting projects. Her PhD work created high-throughput experimental and image-processing pipelines that increased data output 50x and enabled noise-resolved time series analysis across thousands of vesicles—an uncommon blend of wet-lab rigor and scalable data infrastructure. Based in Seattle, she brings both deep domain expertise and a demonstrated ability to take projects from lab concept to production-ready datasets and models.
10 years of coding experience
6 years of employment as a software developer
High-School Diploma, High-School Diploma, High-School Diploma, High-School Diploma at Baylor SchoolDoctor of Philosophy (PhD), Energy Sciences and Engineering, Doctor of Philosophy (PhD), Energy Sciences and Engineering at University of Tennessee-KnoxvilleBS, Biomedical Engineering, BS, Biomedical Engineering at Georgia Institute of Technology
Github Skills (2)
matlab6
factor6
Programming languages (3)
Github contributions (5)
senorred/MatlabScripts-1
Feb 2016 - Jul 2019
Collection of Matlab scripts
Contributions:1 PR, 3 pushes, 1 branch in 3 years 5 months
matlab
senorred/MatlabScripts
Feb 2016 - Jul 2019
Contributions:1 PR, 3 pushes, 1 branch in 3 years 6 months
matlab
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