I’m a PhD student specializing in time series forecasting, explainability, and digital twins. In my research, I develop new algorithms to both forecast time series data and provide insights into those predictions with explainability techniques. I also work on integrating these innovations into practical applications, collaborating with an industrial partner to optimize production lines.

Before pursuing my PhD, I gained valuable experience in software engineering and data science at the University of Bolzano and during my work at alpitronic. Additionally, I applied machine learning techniques to computational neuroscience projects at OIST. This diverse background fuels my passion for bridging cutting-edge algorithmic research with real-world industrial challenges.

You can find my CV here.