Daniel Cannon is a doctoral graduate from Carnegie Mellon University, where they earned a Ph.D. in Mechanical Engineering. With extensive experience as a robotics engineer, Daniel has demonstrated a versatile skill set in programming, material design, testing, and project leadership. Currently, as an Individual Contributor Tech Level IV at Apple, they lead a team to enhance robotic systems through innovative software solutions and advanced machine learning algorithms. Their previous roles include mechanical engineering positions at U.S. Army DEVCOM Army Research Laboratory and Uber, where they focused on autonomous vehicle testing and development. Daniel is recognized for their strong problem-solving abilities and collaborative approach in interdisciplinary projects.
This person is not in the org chart
This person is not in any teams
This person is not in any offices