André Tamake Yoshioka

Materials Engineer with an emphasis on Ceramic Materials, graduated from the Federal University of São Carlos (2025). I was a Scientific Initiation fellow (FAPESP grant 2022/15867-9) in the project "Development of new high-hardness glasses guided by Machine Learning." I developed my Undergraduate Thesis (TCC) on the topic "Development of new glasses with an optimized combination of properties using Machine Learning." I completed a mandatory internship in the CBMM/FAI (13.673) project "Development of Nb-Crystal glass guided by Artificial Intelligence." I have experience in developing glass compositions with specific properties, or an optimized combination of properties, using Machine Learning (ML) algorithms such as GLAS (Genetic Lookup for Apt Substances), PyGGi (Python for Glass Genomics), GlassPy, and SciGlass Next. I am currently a master's student in the Graduate Program in Materials Science and Engineering (PPGCEM UFSCar), developing a dissertation on the topic "Structure-Informed Design of Optical Oxide Glasses via Machine Learning and Solid-State NMR." (Source: Lattes Curriculum)