Yujia Xue
Imaging Scientist at Apple
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolYujia Xue is an imaging scientist with eight years of experience bridging optics, hardware and algorithms, currently developing end-to-end camera system simulations and influencing future hardware roadmaps at Apple. He earned a Ph.D. in Electrical Engineering from Boston University, where his work in the Computational Imaging Systems Lab produced novel systems such as a wearable miniature fluorescence mesoscope, high-resolution phase microscopy, and deep-learning methods for imaging through scattering. Yujia combines hands-on hardware prototyping with model-based and data-driven inverse algorithms, reflecting a rare fluency across experiment, theory, and code. His industry experience includes an award-winning summer internship at Nokia Bell Labs and an early R&D engineering role in China, signaling both practical product focus and strong research credentials. Notably, he continues to push computational imaging boundaries by tightly co-designing optics and algorithms to enable 3D and deep-tissue imaging modalities.
8 years of coding experience
1 year of employment as a software developer
博士, 博士 at 美国波士顿大学学士, 仪器科学与技术, 学士, 仪器科学与技术 at 北京航空航天大学
Chinese, English
Github Skills (5)
correlation9
imaging7
python6
deep-learning5
pytorch5
Programming languages (1)
Github contributions (5)
bu-cisl/Illumination-Coding-Meets-Uncertainty-Learning
Dec 2018 - Jul 2021
Contributions:13 commits, 11 pushes in 2 years 7 months
bu-cisl/Deep-Speckle-Correlation
Aug 2018 - Sep 2018
python implementation of Deep speckle correlation: a deep learning approach towards scalale imaging through scattering media
Contributions:21 commits, 18 pushes, 1 branch in 1 month
pytorchpythondeep-learningapproachpython-implementation
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