New PhD students are thriving at Rücklab right now! Today Leoni had her individual study plan (ISP) seminar, presenting her upcoming doctoral studies.
Leoni’s doctoral project goes under the title “Predictive modeling of suicide risk and risk factors using registry and genetic data” and is all about suicide prediction using new technologies and unique multimodal data.
A challenge in the current research field of suicide prevention is that it is hard to study such rare events. To date, the focus has been on suicidal thoughts or attempts rather than actual deaths, and there are reasons to believe that these events differ in terms of prediction. When it comes to compulsory care, we know little about how the current interventions does in the long run, and there is a need for improved suicide prediction tools that can be implemented in a clinical context.
Leoni will work with the projects 1) Suicide and compulsory mental care and 2) Saving Lives.
- The first project will be about risk factors for suicide among psychiatric patients under compulsory mental care and will describe and compare suicide risk for these patients, as well as identify risk factors.
- The second project will be about improving suicide prediction in a total nationwide multimodal suicide cohort. This project aims at discovering genetic and environmental risk factors and also develop predictive models for suicide death.
Leoni’s main supervisor is John Wallert. Co-supervisors are Christian Rück and Ronnie Pingel.