Maria Carannante

Maria Carannante is a Lecturer at the European University of Rome's Department of Human Science, specializing in Mathematical Methods for Economics, Actuarial Sciences, and Finance (STAT-04). She maintains active membership in The Association for Mathematics Applied to Social and Economic Sciences (AMASES).

Her research program centers on developing advanced quantitative methods for real-world applications. Primary domains include:

• Machine learning implementations for longitudinal data analysis
• Stochastic modeling of mortality and longevity risks
• Climate risk quantification in insurance contexts
• Multidimensional analysis of financial time series
• Big data processing frameworks for economic systems

Publication analysis reveals consistent focus on actuarial innovations, with recent emphasis on:

• Machine learning applications in insurance risk transfer
• Pandemic mortality modeling and insurance implications
• ESG integration in actuarial pricing
• Advanced dependency modeling using copulas
• Longevity risk solutions for pension systems