Materials engineer working at the interface of materials science, physics, and data science. I am driven by a passion for tackling intricate problems. My current research focuses on coupling machine learning and ab-initio methods, such as DFT and molecular dynamics in order to design complex materials.I have been mostly working with programming, machine learning, and physics-informed neural networks for the last two years. I have ten years of research experience in the field of metallurgy, in areas such as welding, metalworking, phase-transformations, materials testing, and materials characterization. Specialties: Image analysis, Data Science, Machine Learning, Python. Density Functional Theory (DFT), Molecular dynamics, Metals, Ti-alloys, Structural materials, Heat-treatments, X-ray diffraction, Focused-ion-beam (FIB), Scanning electron microscopy (SEM), Transmission electron microscopy (TEM). For more information, please visit: https://www.researchgate.net/profile/Camilo_Salvador