I spent much of my time on material processing, testing, and characterization work. I worked with Mg samples subjected to multiple different thermo-mechanical processing conditions, some of which I performed, including conventional extrusion, equal channel angular extrusion, solution treatment, annealing, and cold rolling. Throughout my time in the lab, I studied samples from dozens of combinations of these processing methods. To evaluate the properties of these samples, I conducted tests including immersion corrosion tests (in solutions like Earle’s Balanced Salt Solution (EBSS), Dulbecco’s Modified Eagle Medium (DMEM), and Hanks’ Balanced Salt Solution (HBSS)) and tensile tests (specifically, micro-tensile tests). I was also exposed to characterization methods like scanning electron microscopy (SEM) and micro computed tomography (micro-CT) to analyze Mg samples. The results of this testing and characterization work often went towards understanding the impact of these processing methods on the material’s mechanical properties and microstructure and towards determining the conditions that lead to optimal material properties. Some of this work and the resulting data are being used in a machine learning study in which processing-property relationship predictions are generated and experimentally tested against, after which the new experimental results are fed back into the model to continue the cycle. This generates an increasingly accurate prediction model and material processing strategies that result in favorable material properties.