Po-nan Li
Camera Machine Learning Engineer at Apple
Cupertino, California, United States
Summary
👤
Senior🎓
Top SchoolPo-nan Li is a Camera Machine Learning Engineer at Apple with 12 years of experience blending computational imaging, hardware-aware ML, and optics research. He holds a PhD in Electrical Engineering from Stanford and has applied his expertise at SLAC, Academia Sinica, and internships at Google and Facebook, delivering practical camera calibration, AR/VR video mapping, and nanostructure modeling pipelines. At Apple he translates advanced imaging algorithms into hardware-ready ML solutions for camera systems, drawing on deep experience in X-ray and cryo-EM imaging and noise-reduction techniques. Known for bridging academic rigor with product-focused engineering, he often solves problems that sit at the intersection of physical optics and learnable models.
12 years of coding experience
11 years of employment as a software developer
Bachelor's degree, Electrical Engineering, Bachelor's degree, Electrical Engineering at National Tsing Hua UniversityDoctor of Philosophy (Ph.D.), Electrical Engineering, Doctor of Philosophy (Ph.D.), Electrical Engineering at Stanford University
Japanese, Chinese, English
Github Skills (13)
altium-designer7
factorization6
lda5
dcard5
crystallography5
spider2
scrapy2
stock2
darknet2
python2
crawler2
object-detection2
pytorch2
Programming languages (5)
Github contributions (5)
cicadatatw/unisys-typhoon-database
Oct 2016 - Oct 2016
Contributions:8 commits, 4 pushes, 1 branch in 4 days
liponan/structure-generator
Mar 2020 - Apr 2021
Contributions:26 commits, 13 pushes, 2 branches in 1 year 1 month
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