Since August 2024, I have been working as a Postdoctoral Fellow at the University of Turku, focusing on applying AI to the battery circular economy in the SmartCycling project. Earlier in 2024, I served as a Visiting Professor at the University of Alberta, where I worked on generative AI-based maintenance scheduling and conducted uncertainty analysis for AI-based fault diagnosis. From March 2023 to August 2024, I was an Assistant Professor in Machine Learning at Politecnico di Milano. There, I taught courses on Machine Learning, Business Analytics and Big Data, while conducting research and supervising graduate students on multimodal AI and human-centered digital twins.

Between 2021 and 2023, I pursued postdoctoral research at the University of Victoria, Dept. of Mechanical Engineering and Dept. of Electrical and Computer Engineering, where I led teams of graduate students on projects involving digital twinning, adaptive scheduling, and explainable AI for fault diagnosis. I held a MITACS postdoctoral fellowship at Unilever Canada Co., working on AI-based demand and shipment forecasting and unsupervised learning for customer segmentation.

My academic journey includes a Ph.D. in Industrial Engineering from Politecnico di Milano (2017-2021), where I specialized in applying AI to fault detection and diagnosis in manufacturing systems. During this time, I also studied machine learning at the University of Zurich. I worked at École Polytechnique Fédérale de Lausanne (EPFL), focusing on fault diagnosis of rotating machinery under noisy conditions, PV energy generation forecasting, and developing generative algorithms for automatic visual inspection of rare defects.