Clark Haynes
Engineering Lead ATG Prediction Team, Uber
Clark Haynes is the Engineering Lead for Uber ATG’s Prediction Team, developing state of the art methods to predict how real world road users will interact with self- driving vehicles. Prediction is a key component in developing autonomous systems, drawing upon technical areas such as machine learning, data science, robotics, and software engineering. Clark is an avid bike commuter, focused on advancing autonomous rideshare to make our streets safer and more efficient for all modes of transport. Prior to joining Uber, Clark was software lead for Carnegie Mellon’s CHIMP robot, one of the winners of the 2015 DARPA Robotics Challenge, and previously conducted research as an Intelligence Community Fellow at the University of Pennsylvania. Clark holds a Ph.D. in robotics from Carnegie Mellon University and B.S.E. from the University of Michigan.
