Portrait of Jamie Shotton

Jamie Shotton

Partner Director of Science


I lead Microsoft’s Mixed Reality & AI Labs in Cambridge and Belgrade.  We work on bringing transformative new technologies and experiences from early stage research to shipping in products such as Microsoft HoloLens and Azure Kinect.  My research background is at the intersection of computer vision, mixed reality, AI, machine learning, interaction, and graphics.


HoloLens 2 is now shipping, including our work to make interaction in mixed reality more instinctual through detailed eye and hand tracking.

We’re hiring!  Looking for world-class engineers, post-docs, and researchers with expertise in computer vision, graphics, and machine learning.

Research Highlights

Hand Pose Estimation.  Real-time, accurate, robust, and flexible articulated tracking of the human hand.

Decision Jungles.  Memory-efficient generalization of decision trees and forests with improved generalization.

Scene Coordinate Regression Forests.  A new approach to 6D camera pose estimation by regression 3D scene coordinates.

Human pose estimation for Kinect.  Our work on human body part recognition for Kinect.

Short Biography

Jamie Shotton is Partner Director of Science at Microsoft.  He leads the Mixed Reality & AI Labs in Cambridge and Belgrade, where his team incubates transformative new technologies and experiences from early stage research to shipping product.  He studied Computer Science at the University of Cambridge, where he remained for his PhD in computer vision and machine learning, before joining Microsoft in 2008.  His research focuses at the intersection of computer vision, AI, machine learning, and graphics, with particular emphasis on systems that understand the motion, shape, and appearance of people in 3D.  He has explored applications of this work for mixed reality, virtual presence, human-computer interaction, gaming, and healthcare.  He has shipped foundational features in multiple products including body tracking for Kinect and the hand- and eye-tracking that enable HoloLens 2’s instinctual interaction model.  He has received multiple Best Paper and Best Demo awards at top-tier academic conferences. His work on Kinect was awarded the Royal Academy of Engineering’s gold medal MacRobert Award in 2011, and he shares Microsoft’s Outstanding Technical Achievement Award for 2012 with the Kinect engineering team. In 2014 he received the PAMI Young Researcher Award, and in 2015 the MIT Technology Review Innovator Under 35 Award.