Hanxiang Hao is a Senior Research Scientist at Apple with a decade of experience specializing in image processing, computer vision, and biomedical image analysis. He holds a PhD in Electrical and Computer Engineering from Purdue after an MEng from Cornell, and has progressed from research internships to senior roles within Apple’s research organization. Hanxiang blends deep learning research with practical production experience, previously applying computer vision in industrial automation at SoftWear Automation and academic projects at Rice. Known for bridging rigorous academic methods with product-driven experimentation, he focuses on translating novel models into reliable systems for real-world imaging problems. Based in Seattle, he combines a strong theoretical background with hands-on engineering to tackle challenging vision tasks across consumer and biomedical domains.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Purdue University
Master of Engineering (MEng), ECE, GPA 3.9, Master of Engineering (MEng), ECE, GPA 3.9 at Cornell University
Bachelor's degree, Electrical Engineering and Automation, GPA 3.8, Bachelor's degree, Electrical Engineering and Automation, GPA 3.8 at Beijing Institute of Technology
This project focuses on tracking cancer cell based on Fuhua et al. [1], which used watershed algorithm to segment cells and built a feature vector for cell tracking including the information of position, shape, spatial distribution and texture.
Contributions:21 commits, 3 PRs, 21 pushes in 2 years 3 months
Contributions:17 commits, 16 pushes, 1 branch in 5 months
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