Chris Meissen
UC Berkeley Engineering
About Me

I am currently a research scientist for Ford Autonomous Vehicles in Palo Alto, CA. I received my Ph.D. in Mechanical Engineering from the University of California, Berkeley in 2017. I was advised by Andy Packard and Murat Arcak and worked in the Berkeley Center for Control and Identification (BCCI). At Berkeley my major emphasis was the analysis and design of control systems. My primary research focused on the networked systems, computational tools for nonlinear system analysis, uncertainty quantification, and large-scale distributed optimization.

Previously, I received a B.S. from Kansas State University and a M.S. from Colorado State University, both in Mechanical Engineering. After completing my M.S. I worked for two years at OptimumG, a vehicle dynamics consulting and software development company.

Technical Interests

  • Stability, performance, and safety certification of interconnected systems
  • Nonlinear, robust, and model-based control system design and analysis
  • Convex optimization and semidefinite programming
  • Semialgebraic geometry and sum of squares programming
  • Machine learning and data analytics


  • UC Berkeley Graduate Divison Block Grant Award
  • UC Berkeley Outstanding GSI Award
  • Kansas State Presidential Scholarship and Engineering Scholarship
  • National Merit Scholar Finalist and Scholarship Recipient