True Price is a research scientist at Meta specializing in 3D computer vision, with 13 years of experience spanning academia and industry and a Ph.D. from UNC Chapel Hill. His work focuses on 3D reconstruction, real-time tracking for mobile AR, and practical systems that bridge Structure-from-Motion, shape-from-shading, and deep learning for challenging capture scenarios. He has shipped production-oriented research at companies including Organic Motion, Bosch, Google (Project Starline), and now Facebook, often solving real-time meshing, RGB-D compression, and monocular depth estimation problems. Early career work in fMRI and bioinformatics gives him an uncommon cross-disciplinary perspective that informs robust algorithm design for noisy, real-world data. True pairs strong theoretical foundations with hands-on GPU and systems engineering to move multi-view and AR research toward deployable products.
13 years of coding experience
8 years of employment as a software developer
Master of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at University of North Carolina at Chapel Hill
Bachelor of Science in Informatics, Bioinformatics, Bachelor of Science in Informatics, Bioinformatics at Baylor University
A collection of Python scripts that implement various graph clustering algorithms, specifically for identifying protein complexes from protein-protein interaction networks.
Contributions:7 commits, 6 pushes, 1 branch in 3 years 7 months
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