Summary
Daniel Detone is a computer vision and deep learning expert with 13 years of experience building real-time perception systems for mixed reality and robotics. He has led vision engineering at Magic Leap and conducts research at Facebook Reality Labs Research, focusing on 3D geometry, sensor fusion, and deep learning for geometric tasks. His work spans CNNs, GNNs, RNNs/LSTMs, RGB-D/3D domains, SLAM/SfM, human tracking, and markerless AR—often with real-time constraints. Daniel blends research rigor from a University of Michigan M.Eng. with product-driven deployments, shipping production systems for AR and autonomous platforms. He’s also a minority investor/owner at Los Angeles Astra, signaling an interest in shaping technology strategy beyond engineering. A less obvious strength is his long-running focus on combining sensor fusion (IMUs) with learned 3D representations to enable robust, low-latency perception in challenging real-world settings.
13 years of coding experience
7 years of employment as a software developer
Master of Engineering (M.Eng.) Computer Engineering, Master of Engineering (M.Eng.) Computer Engineering at University of Michigan
Stoney Creek High School
French