Dr. Christopher Hansen’s research focuses on understanding plasma phenomenon and dynamics with realistic 3D geometry and boundary conditions for both engineered and natural plasmas – with a focus on fusion-relevant plasmas. The group develops and applies validated physics-based numerical simulations and fast data-driven models using machine learning. While Dr. Hansen group’s work is primarily computational, it prioritizes a close coupling to experimental investigations to provide trustworthy models for design and control applications. The tools and methods developed by this group are currently applied to the design of new prototype fusion reactors and the understanding, improvement and control of present and future devices.