Chloe LeGendre

staff research scientist, Netflix Production Innovation

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I am a staff research scientist at Netflix in the Production Innovation group, working on research at the intersection of machine learning, computer graphics, and computer vision, as applied towards new techniques for visual effects and virtual production. Prior to this role, I was a senior software engineer at Google Research working in the computational photography team led by David Salesin, and in the AR/VR engineering team led by Sharam Izadi.

I completed my PhD in Computer Science in June 2019 as an Annenberg Graduate Fellow in the Viterbi School of Engineering of USC. I worked from 2015 to 2019 in the vision and graphics laboratory at the USC Institute for Creative Technologies as a graduate research assistant, supervised by Prof. Paul Debevec.

In 2015 Spring, I received my MS in Computer Science from Stevens Institute of Technology supervised by Prof. Philippos Mordohai, with a focus on 3D computer vision. I returned to Stevens as an adjunct professor in 2021 to teach a web section of CS-537: Interactive Computer Graphics with WebGL, based on the course developed by Angel and Shreiner.

From 2011 to 2015, I was an applications technologist in imaging and augmented reality at L'Oreal USA Research & Innovation, working for L'Oreal's Global Digital Incubator, where I worked on Makeup Genius, among other projects.

I received my BS in Engineering in 2009 from the University of Pennsylvania.



computer vision in xkcd before deep learning

computer vision in xkcd after deep learning

Chloe LeGendre © 2022