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.
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