Jamie Shotton
Jamie Shotton develops computer-vision and embodied-AI systems. He earned a Cambridge computer-science MA in 2001 and a doctorate in vision and machine learning in 2007. He led research at Microsoft and contributed to Kinect body tracking and HoloLens tracking. The Kinect work received shared engineering recognition in 2011 and 2012. He joined Wayve in September 2021. He announced the launch of Wayve Labs in May 2026. His current work includes the GAIA and LINGO embodied-AI models.
- Now at
- Wayve
- Works
- 157
- Citations
- 36,382
- h-index
- 60
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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2001–2007
Cambridge training
Shotton earned a computer-science MA in 2001 and a doctorate in computer vision and machine learning in 2007.
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Microsoft period; dates unstated
Vision systems in products
Shotton led science research at Microsoft and contributed to body tracking for Kinect and hand and eye tracking for HoloLens.
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2011–2012
Shared Kinect recognition
The Royal Academy of Engineering gave the MacRobert Award for Kinect-related work in 2011, and Microsoft gave shared technical recognition in 2012.
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13 September 2021
Move to Wayve
Shotton joined Wayve as chief scientist after leading science research at Microsoft. He guides research on learned driving and adaptability to complex environments.
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29 May 2026
Embodied-AI research at Wayve
Shotton announced Wayve Labs’ launch on 29 May 2026. Wayve Labs researches world models, reinforcement learning, simulation and policy learning. His current work includes GAIA and LINGO, models for embodied intelligence. Safety remains an aim.
Sources and credits
Photo: jamie.shotton.org; Jamie Shotton profile photograph; creator not stated. License: Not stated by source. Source: jamie.shotton.org. Cropped to a square and resized. Ask us to remove or replace this photo.