Johanna Karras is a final-year PhD student at the University of Washington specializing in generative AI, computer vision, and machine learning, advised by leaders in graphics and imaging. She combines rigorous academic research with industry experience as a recurring PhD student researcher on Google’s virtual try-on team, and has built applied vision systems for autonomous traffic safety and black hole image reconstruction. A Caltech CS graduate with eight years of hands-on experience, she has taught core computer vision and data programming courses and shipped deep learning pipelines in both startup and corporate environments. Johanna’s work blends cutting-edge generative models with practical system-building—an unusual mix that enables her to move ideas from papers to production-ready prototypes.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Washington
Official implementation of "DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion"
Contributions:2 PRs, 37 pushes, 2 branches in 2 months
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Johanna Karras - Doctoral Student at University of Washington