She earned her PhD in Mechanical Engineering in 2019, focusing on metal 3D printing, particularly powder bed fusion technology. Since 2024, she has been a tenure-track researcher (RTT) at the Department of Mechanical Engineering. Her research focuses on the application of data science (Design of Experiments and Machine Learning) to innovative processes of metal 3D printing and bioprinting. Key themes include the study of non-standard powders for LPBF production and the selection of process parameters through a combination of empirical and analytical models. She has completed visiting periods at the University of Huddersfield (UK) and Georgia Tech (USA). She is an assistant in the “Design and Analysis of Experiments and Response Surface Methodology” course and teaches the course “LAB - Data Science for Industrial Engineering