Joseph Cheng
ML Research, Responsible AI at Apple
Cupertino, California, United States
Summary
👤
Senior🎓
Top SchoolJoseph Cheng is an ML researcher and responsible-AI practitioner with nine years of experience applying self-supervised learning, time-series analysis, and computational imaging to medical and consumer health problems. He holds a PhD in Electrical Engineering from Stanford and has blended academic rigor with industry impact across roles at Stanford, Apple (multiple research and technical lead positions), Google Health, Humane, and startups. Joseph bridges deep learning research and product-facing deployment—especially in medical imaging and AI for health—bringing both algorithmic innovation and systems-level thinking. Now at Apple’s Responsible AI team, he focuses on trustworthy ML at scale, drawing on prior work in imaging physics and real-world clinical pipelines. A less obvious strength is his longevity in MRI-focused research labs, which gives him rare expertise in combining signal-processing fundamentals with modern self-supervised approaches.
9 years of coding experience
14 years of employment as a software developer
Masters of Engineering (M.Eng.) Electrical Engineering & Computer Science, Masters of Engineering (M.Eng.) Electrical Engineering & Computer Science at Massachusetts Institute of TechnologyDoctor of Philosophy (Ph.D.) Electrical Engineering, Doctor of Philosophy (Ph.D.) Electrical Engineering at Stanford University
Github Skills (5)
mri7
bart5
deep-learning4
imaging4
toolbox4
Programming languages (1)
Github contributions (5)
MRSRL/mridata-recon
Aug 2018 - Jun 2019
Contributions:12 commits, 6 pushes, 1 comment in 10 months
MRSRL/dl-cs
Jan 2019 - Mar 2019
Contributions:60 commits in 2 months
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