Jamie Shotton, Wayve's Chief Scientist

Jamie Shotton

Jamie Shotton is the Chief Scientist at Wayve, a company pioneering AI technology to power self-driving vehicles.

Chief Scientist

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“I’ve been fascinated for many years by both the deep technical challenges and the opportunities for the positive impact that autonomous driving will bring. AVs are the natural next step in taking AI technology out of the lab to deliver real-world impact.”

About Jamie

As head of Wayve’s Discovery department, Jamie leads three distinct areas: the Scaled Intelligence team, which is building our core foundation models for autonomous driving; the Science group, where he’s guiding his research teams to invest in new ideas that have the potential to become game-changing technological advances for the company; and the Simulation group, where he’s driving the development of simulation tools and technologies critical to unlocking safe and adaptable autonomous driving through off-road measurement.

Jamie has been at the forefront of applied AI research for the past 20 years. Before joining Wayve, Jamie was Partner Director of Science at Microsoft and Head of the Mixed Reality & AI Labs. While at Microsoft, Jamie shipped foundational features for Microsoft’s Kinect (Microsoft’s line of motion sensing input devices) and the hand- and eye-tracking that enable HoloLens 2’s interaction model (smart glasses).

Jamie has a PhD in computer vision from the University of Cambridge and has received multiple Best Paper and Best Demo Awards at top-tier academic conferences. He was elected a Fellow of the Royal Academy of Engineering in 2021.