Summary
Andrea Castellani is a Senior Scientist with a Ph.D. in Machine Learning and eight years of experience translating advanced research into production ML and data science solutions, currently leading projects at Honda Research Institute Europe. He specializes in anomaly detection, concept drift, and fairness optimization for industrial time-series and energy monitoring, often deploying scalable architectures that bridge digital twins and deep learning. Andrea has a strong academic track record—summa cum laude PhD, multiple high-impact publications, an ICANN Best Paper award, and roles as reviewer and invited speaker—yet consistently focuses on applied outcomes and stakeholder alignment. He mentors MSc and PhD students, coordinates cross-functional teams, and balances rigorous research with pragmatic engineering to deliver measurable operational improvements. A less obvious strength is his hardware-to-ML background: early electrical engineering and vehicle R&D experience give him uncommon fluency in sensor systems and embedded data pipelines.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Summa cum laude, Doctor of Philosophy - PhD, Computer Science, Summa cum laude at Bielefeld University
Master Degree, Electrical, Electronics and Communications Engineering, 110/100 cum laude, Master Degree, Electrical, Electronics and Communications Engineering, 110/100 cum laude at Università Politecnica delle Marche
Italian, English, Spanish, German