Julian Straub is a research scientist at Facebook Reality Labs in Seattle with 13 years of experience building real-time 3D perception systems that bridge robotics, computer vision, and large-scale machine learning. He holds a PhD from MIT focused on ML, SLAM and robotics, and specializes in Bayesian modeling of directional data, nonparametrics, and efficient inference techniques. At Facebook he leads work on end-to-end mobile 3D scene understanding spanning sensor design, sensor fusion, state estimation, reconstruction and localization. Julian is also an active contributor to open-source tooling for vision and sensor integration—having enhanced Pangolin’s camera drivers and Realsense support to improve real-world data capture and synchronization. He combines deep theoretical expertise with hands-on systems engineering, consistently shipping research that targets deployable, low-latency perception stacks.
13 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at MIT
M.S., Electrical and Computer Engineering, M.S., Electrical and Computer Engineering at Georgia Institute of Technology
Dipl. Ing., Electrical Engineering and Information Technology, Dipl. Ing., Electrical Engineering and Information Technology at Technische Universität München
Pangolin is a lightweight portable rapid development library for managing OpenGL display / interaction and abstracting video input.
Role in this project:
Back-end Developer
Contributions:10 commits, 9 PRs, 8 comments in 3 months
Contributions summary:Julian primarily focused on enhancing the Teli camera driver within the Pangolin library. Their work involved porting the driver to Linux, integrating Teli camera serial number support, and implementing support for Bayer and RGB image formats. Furthermore, the user added features for synchronization and frame management. They also integrated Realsense sensor support.
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