I’m passionate about building Embodied AI, deep tech startups and generally anything adventurous.

I co-founded and am CEO at Wayve – the leader in developing embodied AI for autonomous driving. I started working on this technology at Cambridge University where my PhD research showed how end-to-end deep learning could enable safe and real-time scene understanding. I founded Wayve in 2017 with the belief that end-to-end AI would unlock generalised autonomy at global scale. Wayve was first to deploy end-to-end AI on public roads and our AV2.0 approach enables safe, generalisable and trustworthy autonomy. We’ve raised $1.3b in funding and are a team of over 300 across London, Vancouver and Silicon Valley. Interested in joining our mission? We’re hiring here!

Wayve team, April 2024.

My life began in the South Island of New Zealand where I learned a sense of adventure in the mountains. I spent countless hours hiking, mountain biking and exploring our rivers and beaches, fostering a passion for conservation of our natural world.

I developed a deep curiosity playing with science and technology, teaching myself how to solder circuits, code computer games and build drones. I was inspired by leading sportsmen/women’s achievements (like sailing and rugby) and the culture of innovation that I was exposed to in New Zealand.

I won a scholarship to study engineering at Auckland University. I then tried to start a few (unsuccessful) companies and built too many robots in my dorm room before graduating first in my engineering class. I learned to surf during this time at Auckland’s beaches like O’Neill and Piha which would later provide inspiration for naming Wayve.

Avalanche Peak, New Zealand. Photo taken by a Skydio2 drone.

I was fortunate enough to win a Woolf Fisher Scholarship to Cambridge where I completed my PhD in deep learning for computer vision and robotics. I worked with Roberto Cipolla, Yarin Gal, Vijay Badrinarayanan and others to develop some of the first end-to-end deep learning methods for semantic segmentation, localisation, stereo and scene understanding, and explored how geometry and uncertainty can be used to better understand these systems. My work was awarded the 2018 BMVA Prize and 2019 ELLIS Prize.

Trinity College, Cambridge, where I was a PhD student and Research Fellow. My research on multi-task scene understanding and uncertainty estimation, enabling AVs which can safely drive in dynamic scenes without HD-maps.

I was elected as a Fellow of Trinity College, Cambridge. I loved spending time with startups like Skydio and Scape which got me excited about the potential of venture-backed growth. Ultimately I became convinced that end-to-end machine learning would become the future for robotics. This was a very contrarian idea at the time and laughed at by many… but led to the founding of Wayve.

Wayve began in a residential house, just outside Cambridge University. We founded the company in 2017 with the mission to ‘reimagine autonomous mobility with embodied intelligence’. We demonstrated world-firsts of end-to-end deep learning driving on public roads, with model-free and model-based reinforcement learning, imitation learning and sim2real transfer. We then raised our Series A funding and moved to London.

Unveiling our first autonomous vehicle we built in our garage in Cambridge, UK. An early result, learning to drive with reinforcement learning.

Today Wayve is the leading developer of Embodied AI technology for automated driving. We’ve raised $1.3b from top investors like SoftBank, Microsoft, NVIDIA, and Eclipse Ventures and are a team of over 300 people across London, Vancouver and Silicon Valley. We’ve been operating our fleet on public roads since 2018, including AV trials with major grocery delivery fleets like Asda and Ocado Group. Wayve’s innovative AI technology enables greater generalisation to the long-tail of edge cases, improved safety, while eliminating the need for high-definition maps and complex sensors, marking a significant leap in the scalability of autonomous mobility.

A video of our AV2.0 technology driving autonomously through central London. A fun video showcasing life at Wayve.

Selected Talks and Interviews

Publications

Also on Google Scholar

Awards and Prizes:

  • 2020 Forbes 30 Under 30 for contributions to technology entrepreneurship and 2024 Alumni award
  • 2019 ELLIS European PhD Prize for outstanding research achievements in artificial intelligence
  • 2018 BMVA Prize for best UK PhD Thesis in Computer Vision
  • 2018 PITCH Champions at WebSummit
  • 2017 Research Fellowship at Trinity College, Cambridge University

Selected News and Media: