Incoming Assistant Professor at University of North Carolina at Chapel Hill
Seattle, Washington, United States
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Summary
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Jason Ren is a computer vision and machine learning researcher with a decade of experience spanning industry labs and academia, now appointed as an incoming Assistant Professor at UNC Chapel Hill while holding research roles at Ai2 and the University of Washington. His background includes PhD-level research from UIUC and hands-on research scientist positions and internships at Apple, Adobe, Facebook AI, and NVIDIA, reflecting a strong track record of translating core research into applied systems. He focuses on brain and eye-related vision problems, blending neuroscience-inspired questions with state-of-the-art ML methods. Known for moving between corporate research environments and academic settings, he brings both product-aware rigor and deep theoretical expertise to students and collaborators.
10 years of coding experience
3 years of employment as a software developer
Master’s Degree, Computer Science, Master’s Degree, Computer Science at University of California, Davis
University of Illinois Urbana-Champaign
Bachelor’s Degree, Software Engineering, Bachelor’s Degree, Software Engineering at Sun Yat-Sen University
Contributions:9 commits, 10 pushes in 2 years 4 months
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Jason Ren - Incoming Assistant Professor at University of North Carolina at Chapel Hill