Emil Annevelink received a PhD in Mechanical Engineering from the University of Illinois at Urbana Champaign in 2021 studying topological defects (dislocations) in single and multilayer graphene. He then moved to Carnegie Mellon University to develop lithium metal and all solid state batteries by investigating electrochemical interfaces using machine learning interatomic potentials. While at Carnegie Mellon, he utilized the theoretical error distributions of machine learning models to develop single model uncertainty quantification tools for data-efficient machine learning architectures. He is now working on commercializing machine learning methods for accelerating physics simulations.