Clark is a robotics expert with over two decades of experience developing cutting-edge autonomous vehicles and robotic systems. He has developed wall climbing robots with DARPA, traveled to Fukushima to study robotic applications for disaster scenarios, and tested robots running around the desert with the intelligence community. Clark led the Prediction team at Uber’s autonomous vehicle division, as well as led the Carnegie Mellon team that completed the DARPA Robotics Challenge.  He holds a Ph.D. and M.S. in Robotics from Carnegie Mellon, and a B.S.E. from the University of Michigan.

Micol has spent the majority of her career developing machine learning approaches for understanding complex interactions among traffic actors. At Velo, she is excited to continue thinking about these problems while placing bicyclists and other vulnerable road users front and center. Micol was previously with Uber ATG and most recently at Aurora Innovation, where she led teams in Prediction and Motion Planning working on core models for intent prediction and discrete decision-making. She holds a Ph.D. in Machine Learning from Carnegie Mellon University and an M.S. and B.S. in Computer Science from Stanford University.

Alison has spent her career building global communities and is leading commercial partnership and community-building efforts for Velo AI. Previously, Alison led community impact initiatives at Argo AI and prior to that worked for the Allegheny Conference on Community Development leading strategic talent initiatives and supporting regional economic development. She holds an M.A from Georgetown University and a B.A. from Pennsylvania State University.