Umberto Michelucci

Umberto Michelucci is a Professor of Scientific Machine Learning at Lucerne University of Applied Sciences and Arts (HSLU), Switzerland. He holds a PhD in Machine Learning applied to Physics and has over 20 years of industry experience. He is the Subject Head of Applied Data Intelligence in Continuing and Executive Education, Head of Certificates in Machine Learning/Data Engineering, and founder of TOELT LLC and the AI Center of Excellence at Helsana Versicherung AG. His research focuses on machine learning applications in science, astrophysics, uncertainty quantification, and sensor technology.

Education

• PhD in Machine Learning applied to Physics (Portsmouth University)
• Master in Theoretical Physics (University of Florence)
• Postgraduate Certificate in Higher Education (Open University, UK)

Research Interests

Michelucci’s work bridges machine learning and scientific disciplines. Key areas include:

• Machine learning for astrophysics (INAF collaborations)
• Uncertainty analysis in high-stakes ML systems
• Deep learning for optical sensing (e.g., olive oil quality analysis)
• Foundational mathematical concepts for ML in science

Awards & Recognition

• World’s Top 2% Scientists (Stanford List)
• Google Developer Expert in Machine Learning
• AI Global Ambassador (2022)
• TOP AI Influencer in Switzerland (2021)

Grants & Collaborations

He collaborates with institutions like INAF (Italy) and NVIDIA/Google, leading projects on AI for agrifood, medical imaging, and astrophysics. His work includes $multi-million industry partnerships and EU-funded research.

Labs & Teams

Director of the TOELT AI Lab and oversees HSLU’s Applied Data Intelligence programs. Active in open-source initiatives and global AI standardization efforts.