Stefano Cabras

Stefano Cabras is a Full Professor in the Department of Statistics at University Carlos III de Madrid (UC3M), where he serves as Director of the Flores de Lemus Institute and Deputy Director of the Master's Degree in Statistics for Data Science. His office is located at 10.1.10 - Campomanes (Getafe).

Professor Cabras maintains broad interdisciplinary research interests spanning:

• Bayesian statistics and computational methods
• Biostatistical applications in nutrition, epidemiology, and medicine
• Causal inference and policy impact evaluation
• Machine learning applications in transportation and sports science
• Statistical modeling of complex biological systems

His publication trends show strong emphasis on Bayesian methodologies applied to healthcare, public policy, and urban systems. Recent work demonstrates increasing integration of deep learning with traditional statistical approaches for problems in causal inference, pandemic forecasting, and transportation optimization.

Professor Cabras leads several major research initiatives:

• Principal researcher for 'Statistical modelling for smart cities' (Beijing Metro Group, 2020-2023)
• Director of 'Contrato marco para servicios de consultoría estadística' (KROLL Advisory, 2022-2024)
• Co-researcher for 'Predicción de edad biológica mediante IA' (Fundación Mutualidad Abogacía, 2020-2021)

He has supervised graduate research including theses on Bayesian metro occupancy modeling and maintains active collaborations through the Flores de Lemus Institute. His research has been applied in policy analysis, healthcare diagnostics, and urban planning internationally.