Raquel Urtasun is the Founder and CEO of Waabi. Waabi is the culmination of Raquel’s 20 year career in AI and 10 years of experience building self-driving solutions. Raquel is also a Full Professor in the Department of Computer Science at the University of Toronto, a co-founder of the Vector Institute for AI, and the recipient of several high profile awards including a Longuet-Higgins Prize, an Everingham Prize, an NSERC EWR Steacie Award, two NVIDIA Pioneers of AI Awards, three Google Faculty Research Awards, an Amazon Faculty Research Award, two Best Paper Runner up Prize awards at CVPR in 2013 and 2017 and more. In 2021, Raquel was named as 100 Women of Impact by Entrepreneur Magazine, 100 People Transforming Business by Business Insider and Toronto’s Most Influential Torontonians according to Toronto Life Magazine. She was also named Chatelaine 2018 Woman of the year and 2018 Toronto's top influencers by Adweek magazine.

As the Chief Commercial Officer at Waabi, Vivian Sun is responsible for Waabi’s go-to-market strategy, commercialization and sales & marketing. She is a seasoned leader in the autonomous trucking industry with extensive experience in technology, automotive and transportation fields. As an early employee of TuSimple and VP of Business Development, she was responsible for the overall commercial partnerships and market recognition. She is also a member of the American Trucking Association subcommittees and Vision Advisory Panel at San Diego Association of Governments.

Eyal Cohen, Waabi’s Head of Hardware, has nearly 20 years of experience leading green-field projects in the automotive and autonomous vehicle space, both as an engineer and an entrepreneur. Early in his career, he helped bring the Mission R to life – a world renowned electric motorcycle with multiple land-speed records. He was an early team member at Apple’s Special Project Group, and part of the team that completed Otto’s historic 200-mile driverless Budweiser beer delivery. As Director of Engineering, he was deeply involved in UberATG’s autonomous trucking program, and specializes in the integration of robust hardware with advanced software.

Daryn Nakuda is the Senior Director of Software Engineering at Waabi. He has over 25 years of experience in the software industry, both as an individual contributor as well as a manager and executive leader. He has founded and worked at several early-stage companies, as well as some of the largest in the industry, including Uber and Amazon. Most recently, Daryn was senior director of software engineering at Aurora Innovation, following Aurora’s acquisition of Uber ATG. Prior to Uber ATG, Daryn was CEO and Co-Founder of Mighty AI, one of the world’s leading data labeling companies, which was acquired by Uber ATG in 2019.

Daryn’s role at Waabi is to lead the offboard software organization, which includes Simulation, Maps, MLOps, Data Platforms, Web Tools, Developer Tools, and Infrastructure.

Sam Loesche is the Head of Policy and Public Affairs at Waabi. Sam previously led federal policy and government affairs at autonomous trucking developer Embark Trucks. Prior to that he spent eight years as the head of transportation policy at the International Brotherhood of Teamsters, the largest transportation labor union in the U.S.

Sam is a surface transportation policy expert who specializes in autonomous trucking and freight issues. He serves as the chairman of the AUVSI's trucking advocacy committee, was a member of the Biden-Harris Campaign’s Infrastructure Policy Committee, and has sat on numerous panels and working groups within US DOT, Congress, and various state agencies. He has been featured in 60 minutes, Rolling Stone, the LA Times, and numerous other national publications. A graduate of Kenyon College, he currently resides in Maryland.

Geoffrey Hinton received his Ph.D. in Artificial Intelligence from Edinburgh in 1978. After five years as a faculty member at Carnegie-Mellon, he became a fellow of the Canadian Institute for Advanced Research and moved to the Department of Computer Science at the University of Toronto where he is now an emeritus professor. He is also a VP Engineering fellow at Google and Chief Scientific Adviser at the Vector Institute.

Geoffrey Hinton was one of the researchers who introduced the backpropagation algorithm and the first to use backpropagation for learning word embeddings. His other contributions to neural network research include Boltzmann machines, distributed representations, time-delay neural nets, mixtures of experts, variational learning, and deep learning. His research group in Toronto made major breakthroughs in deep learning that revolutionized speech recognition and object classification.
Geoffrey Hinton is a fellow of the UK Royal Society and a foreign member of the US National Academy of Engineering and the American Academy of Arts and Sciences. His awards include the David E. Rumelhart Prize, the IJCAI award for research excellence, the Killam Prize for Engineering, the IEEE Frank Rosenblatt medal, the NSERC Herzberg Gold Medal, the IEEE James Clerk Maxwell Gold medal, the NEC C&C award, the BBVA award, the Honda Prize and the Turing Award.

Fei-Fei Li is an American computer scientist. She is the Sequoia Capital Professor of Computer Science at Stanford University. Li is a Co-Director of the Stanford Institute for Human-Centered Artificial Intelligence, and a Co-Director of the Stanford Vision and Learning Lab.

Professor Pieter Abbeel is Director of the Berkeley Robot Learning Lab and Co-Director of the Berkeley Artificial Intelligence (BAIR) Lab. Abbeel has founded two companies: Gradescope (AI to help instructors with grading homework and exams) and Covariant (AI for robotic automation of warehouses and factories). Abbeel is a founding partner at AIX Ventures, a Venture Capital firm focused on AI start-ups. Abbeel is the host of The Robot Brains podcast, which explores what AI and Robotics can do today and where they are headed, through conversations with the world's leading AI and Robotics pioneers. Abbeel has received many awards and honors, including the PECASE, NSF-CAREER, ONR-YIP, Darpa-YFA, TR35, IEEE Fellow, and ACM Prize in Computing. His work is frequently featured in the press, including the New York Times, Wall Street Journal, BBC, Rolling Stone, Wired, and Tech Review.

Sanja Fidler is an associate professor at the University of Toronto and Director of AI at Nvidia. She is also a co-founder of the Vector Institute, University of Toronto, and Canada CIFAR AI Chair. Her research is in the areas of computer vision and artificial intelligence.