As a PhD candidate in psychiatric epidemiology, my research focuses on identifying risk factors, clinical correlates, and long-term outcomes of severe anorexia nervosa (AN). I am particularly interested in leveraging national health registries, and utilizing advanced epidemiological methodologies combined with machine learning techniques for precision psychiatry. My ultimate goal is to bridge epidemiological insights with clinical practice, empowering patients through personalized intervention strategies that prevent chronicity and enhance recovery outcomes.

What do we know about severe AN?

While extensive research has identified numerous risk factors, critical gaps remain in severity determinants. My work investigates the multifactorial etiology of severe AN by analyzing how environmental triggers  interact with genetic vulnerabilities using  national registers. In later research phases, I will develop machine learning models to predict illness progression at diagnosis, integrating registry data with polygenic risk scores for personalized prognostic tools.

My primary teaching activities relate to R programming and genetic epidemiology.

My collaboration across the National Centre for Register-based Research at Aarhus University, as well as with the Centre of Eating Disorder Innovation (CEDI) at Karolinska Institutet, Sweden, has broadened my understanding of the interplay between environmental determinants, and genetic predispositions in severe AN. The collaboration with CEDI has allowed me to delve into a large Swedish cohort, providing both quantitative register-based data and qualitative insights.

My areas of work include:

    Research in Pharmacoepidemiology, psychiatric epidemiology and genetics
    Data management
    Statistical analysis in R and SAS
    Research dissemination through publications and conferences