Luca Casini is a researcher and machine learning engineer with 11 years of experience, recently completing a postdoc at KTH focused on generative AI for symbolic music and now working at RISE in Stockholm. He holds a PhD in Data Science and Computation and blends deep learning research with practical systems knowledge from earlier roles in internet architecture and data sonification. Luca has hands-on experience applying Transformers and other deep models to creative audio tasks, and has collaborated internationally as a visiting PhD student and through industry internships. Curious and interdisciplinary, he connects musical creativity with rigorous computational methods, often translating research prototypes into reproducible experiments and tutorials.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Data Science and Computation, Doctor of Philosophy - PhD, Data Science and Computation at Alma Mater Studiorum – Università di Bologna
Laurea Triennale, Computer Science, Laurea Triennale, Computer Science at Università degli Studi di Perugia
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Luca Casini - Researcher at RISE Research Institutes of Sweden