Applied Statistics, AI and Mathematical Modelling for Data-Driven Research and Sustainability

I am a university researcher and lecturer with expertise in applied statistics, artificial intelligence, data analysis, and mathematical modeling for real-world problems. My work focuses on the design and validation of research instruments, quantitative data analysis, predictive modeling, and the interpretation of complex datasets for scientific and policy-relevant purposes.

My methodological expertise includes statistical modeling, multivariate analysis, psychometric validation, exploratory and confirmatory factor analysis, regression techniques, machine learning applications, and data visualization. I am particularly interested in interdisciplinary collaboration where rigorous quantitative methods can support innovation, digital transformation, sustainability-oriented research, and evidence-based decision-making.

I can contribute to project development through research design, methodological planning, data collection tools, statistical analysis, modeling, interpretation of results, and scientific reporting. I am open to collaboration in Horizon Europe and other international projects that require strong analytical and quantitative expertise.