Maria Bånkestad

I’m a machine learning researcher at RISE working at the intersection of AI and physics. I develop AI methods that integrate data with physics and geometry and apply them to projects spanning materials and chemistry, batteries, energy, and fluid-flow simulation, including wind energy. My goal is to build robust, data-efficient models that work in practice and can be linked to both simulation and experiments. For more information, see my homepage https://mariabankestad.github.io/.