I am a PhD candidate in Sociological Demography at SUDA, working with computational methods and approaches with big data to study topics related to inequality, segregation, and life-course events. I hold a MSc in Computational Social Science from The Institute for Analytical Sociology at Linköping University, as well as both a bachelor’s degree and work experience in the field of social welfare.

In my dissertation I leverage Nordic population registers and machine learning methods, to understand complexities in the human life course. I study the predictability of life course trajectories and life outcomes, as well as intergenerational processes, such as SES transmission. I am also affiliated with the project Understanding society through register-based machine learning at Linköping University with Maria Brandén, and the 1987 Finnish Birth Cohort study at The Finnish Institute for Health and Welfare. In addition, I have worked in the project Childhood psychosocial and environmental predictors of crime and victimization across life with Amber Beckley.