Kat Ellis
Research Scientist at Netflix
Portland, Oregon, United States
Summary
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Senior🎓
Top SchoolKat Ellis is a research scientist with 12 years of experience applying machine learning to personalization and health-tech, currently advancing AI for Member Systems at Netflix after leading personalization and causal recommendation work for Amazon Halo and Amazon Music. Her background spans applied R&D in autonomous vehicle trajectory planning at Cruise to deep-learning and counterfactual ranking methods for large-scale recommendation systems. She holds a Ph.D. in Electrical and Computer Engineering from UC San Diego and has a track record of translating academic sensor- and activity-recognition research into production-ready personalization and fitness recommendation algorithms. Based in Portland, she blends rigorous research instincts with product-focused engineering, often tackling causal inference and bandit-style problems that improve individual user outcomes.
12 years of coding experience
15 years of employment as a software developer
B.S. Electrical Engineering, B.S. Electrical Engineering at University of Southern CaliforniaUniversity of California, San DiegoGithub contributions (5)
kkatellis/TLBC
Jun 2015 - Jun 2016
Contributions:35 commits, 29 pushes, 1 branch in 1 year
kkatellis/ExtraSensory
Oct 2013 - Dec 2015
Contributions:62 commits in 2 years 2 months
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