Christine Butti

Christine Butti is an Assistant Professor of Statistics at the Department of Business Economics, Health and Social Care (DEASS) of the University of Applied Sciences and Arts of Southern Switzerland (SUPSI). She has been a lecturer and researcher at SUPSI since 2001, focusing on statistical methodologies and multidimensional deprivation analysis.

• Education:
  • PhD in Methodological Statistics (University of Trento, 1995)
  • Master's in Advanced Biostatistics for Clinical Research (University of Padua, 2020)
  • Degree in Statistical and Economic Sciences (University of Padua, 1990)

Her research centers on developing innovative clustering techniques (e.g., Self-Organizing Maps) to analyze multidimensional well-being and deprivation patterns using Swiss Household Panel data. Key projects include mapping deprivation dynamics in Switzerland, studying gambling behaviors in Ticino, and assessing labor market integration for AI-insured individuals.

Recent publications highlight her expertise in applying machine learning to social sciences, with a focus on non-monetary indicators of vulnerability. She has collaborated extensively with institutions like the Swiss National Science Foundation and the University of Bergamo.

• Awards:
  • Appointed Adjunct Professor at SUPSI (2009)

Christine leads the Research Methodology Competence Center at SUPSI and has held leadership roles in DEASS (2014-2018). Her work bridges statistical theory with social policy applications, emphasizing biographication of risks and structured inequality.