I am a PhD candidate in Sociological Demography at SUDA, working with computational methods and approaches to study topics related to inequality, segregation, and life-course trajectories. 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 New World of Work research group with Theo Bodin at Karolinska Institute. In addition, I have previously worked in the project Childhood psychosocial and environmental predictors of crime and victimization across life with Amber Beckley, and have collaborated with The Finnish Birth Cohort 1987 Study at The Finnish Institute for Health and Welfare.