Emmanuel Lujan is a postdoctoral associate in the Julia Lab based in the Computer Science and Artificial Intelligence Laboratory at MIT. As part of CESMIX, he works on novel methods, composable software abstractions, and Julia tools to facilitate the development of large-scale material simulations, as well as to contribute to a better integration of the atomistic software ecosystem. In particular, he works on facilitating the learning of interatomic potentials and forces, ensuring fast execution, leveraging integration with state-of-the-art tools such as the latest developments in Julia around scientific machine learning (SciML), automatic differentiation (Enzyme.jl, Zygote.jl) and GPU abstractions (CUDA.jl).