Patsorn Sangkloy is a computer vision and machine learning researcher with a decade of experience translating visual understanding research into real-world systems. Currently a postdoctoral researcher at New York University, he brings prior faculty experience and industry research internships at Argo AI and Adobe, blending academic rigor with product-focused problem solving. His PhD from Georgia Tech and master's from Brown underpin a strong foundation in vision algorithms, while his time in autonomous-vehicle and creative-software labs signals expertise across perception and image synthesis. Known for moving ideas from prototypes to papers and prototypes to pipelines, he navigates both theoretical and applied research trajectories. Based in the San Francisco Bay Area, he combines global academic roots with practical industry collaborations, often bridging student mentorship and collaborative projects. An underrated strength is his track record of working across academia and industry internships, giving him a pragmatic perspective on deploying vision models beyond experimental settings.
10 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Georgia Institute of Technology
Master's degree, Computer Science, 4, Master's degree, Computer Science, 4 at Brown University
Contributions:40 PRs, 143 pushes, 11 branches in 1 year 2 months
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Patsorn Sangkloy - Postdoctoral Researcher at New York University