Dorian Chan
AI Resident at Apple
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolDorian Chan is an AI-focused computational photography researcher and Apple AI Resident with 11 years of experience building physics-aware computer vision and imaging systems. He holds a PhD from Carnegie Mellon (2025) and has published at top venues including CVPR, ECCV, ICCV, SIGGRAPH and EGSR for work in 3D vision, structured light, image restoration and inverse rendering. His research blends optical hardware design and deep learning—examples include holographic illumination for long-range depth sensors, compressed-sensing camera optics enabling 192 kHz slow-motion recovery, and laser-based vibration sensing with single-photon detectors. Dorian has interned at Meta, Snap, and Apple, translating simulation-to-reality methods and generative sensor models into practical AR/near-eye display and projector systems. He’s active in mentoring and community building (organizing CMU’s computational imaging reading group and serving as departmental ombudsperson), bringing both technical depth and people-focused leadership. Based in San Jose, he pairs rigorous academic work with product-minded research that targets deployable imaging hardware and algorithms.
11 years of coding experience
8 years of employment as a software developer
Electrical Engineering and Computer Science, 3.85, Electrical Engineering and Computer Science, 3.85 at University of California, BerkeleyDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Carnegie Mellon University
Github Skills (3)
rest6
javascript5
python5
Programming languages (1)
Github contributions (5)
antiamoeba/fishoak
Jun 2019 - Jan 2025
Contributions:95 pushes, 1 branch in 5 years 7 months
antiamoeba/antiamoeba.github.io
Jun 2019 - Feb 2025
Contributions:27 pushes, 1 branch in 5 years 9 months
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