Zak Murez
Research Scientist at Wayve
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolZak Murez is a research scientist and Ph.D. candidate in Computer Science and Engineering at UC San Diego specializing in computer vision, currently applying deep learning to problems traditionally tackled with physics-based methods. Advised by David Kriegman and Ravi Ramamoorthi, his work bridges photometric stereo and learned models to handle scenarios where classical assumptions break down. With eight years of research and industry experience, he now contributes at Wayve, bringing academic rigor to applied perception challenges in autonomous systems. A Yale-trained mathematician and computer scientist who also pursued advanced coursework in physics, chemistry, and biology, he blends strong theoretical foundations with interdisciplinary curiosity. Notably, his trajectory reflects a shift from extending classical algorithms to rethinking core vision problems through data-driven approaches.
8 years of coding experience
University of California San Diego
Github Skills (65)
python10
deep-learning10
gpu10
gpu-acceleration10
efficientnet10
acceleration10
numpy10
neural-network10
computer-vision10
feature-matching10
tensor10
3d-reconstruction10
photogrammetry10
tensorflow10
autograd10
Programming languages (3)
Github contributions (5)
zmurez/TurbulentWater
Jun 2018 - Apr 2020
Contributions:13 commits, 10 pushes, 1 branch in 1 year 10 months
zmurez/MediaPipePyTorch
Jun 2020 - Mar 2021
Port of MediaPipe tflite models to PyTorch
Contributions:4 commits, 1 PR, 8 pushes in 8 months
pytorchdeep-learningmediapipetflite-modelstflite
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