Brigit Schroeder
Graduate Research Assistant
California, United States
Summary
👤
Senior🎓
Top SchoolBrigit Schroeder is a PhD candidate and research-driven computer vision and machine learning engineer with 13 years of experience applying deep learning to robotics, SLAM, image generation, retrieval, and self-supervision. She has blended academic rigor with industry impact through roles at UC Santa Cruz, Intel’s AI Residency, Stanford CVGL, Oculus, and Magic Leap—where her deep metric learning work for relocalization contributed to a patent. Her expertise spans graph-based and NLP-related vision problems, and she focuses on building systems that minimize human intervention and augment real-world users. Based in California and comfortable moving between research and production, she has a track record of publishing at top venues (CVPR/ICCV workshops) and integrating novel algorithms into working mixed-reality platforms.
13 years of coding experience
12 years of employment as a software developer
Physics (honors), Physics (honors) at University of MinnesotaUMass LowellUniversity of California Santa Cruz
Github Skills (8)
encoder-decoder7
machine-learning7
deep-learning6
caffe5
computer-vision4
pytorch4
hardware4
datasets4
Programming languages (2)
Github contributions (5)
beejisbrigit/semantic_mapper
Sep 2016 - Oct 2016
Contributions:9 pushes, 1 branch in 21 days
UMLRoverHawks/rover_cam_detect
May 2013 - May 2013
Contributions:2 commits in 1 day
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