Han Gong
Machine Learning Engineer (Camera ISP Firmware) at Apple
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolHan Gong is a machine learning engineer and computer vision scientist with 11 years' experience building camera ISP firmware and computational photography algorithms, currently inventing camera colour-optimisation and ML solutions at Apple. He combines deep academic roots—a PhD in computer vision, a lecturing role and research posts across UEA, Cambridge and Edinburgh—with hands-on industry impact in production imaging pipelines. His expertise spans colour science, geometry and illumination modelling, and he has supervised PhD work while publishing and prototyping novel imaging algorithms. Notably, he moved from academia to a high-impact Apple role where he translates theoretical colour and homography research into practical ISP algorithms used in consumer cameras. Based in Cambridge, he brings both rigorous research pedigree and production-grade engineering to solve challenging colour and imaging problems.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Vision, Doctor of Philosophy (Ph.D.), Computer Vision at University of BathBachelor's Degree, Computer Science, 1st Class Honours (Ranked 1st in the School), Bachelor's Degree, Computer Science, 1st Class Honours (Ranked 1st in the School) at University of Ulster
Chinese, English
Github Skills (31)
octave9
matlab9
xiaomi9
depth8
linuxbrew7
kitti7
toolbox5
pytorch4
ruby4
homebrew4
lift4
computer-vision4
figure3
matio2
linux2
Programming languages (7)
Github contributions (5)
hangong/ch
May 2018 - Jan 2019
Contributions:14 commits, 11 pushes, 1 branch in 8 months
hangong/Colour_Transfer_deNoise
Oct 2016 - Jul 2017
Contributions:9 commits, 8 pushes, 1 branch in 9 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.