Schizophrenia, bipolar disorder and schizoaffective disorder are severe, chronic mental illnesses, commonly characterized by impairments in social and occupational functioning and quality of life. With the growing emphasis on personalized care in everyday clinical practice, there is an increasing need for individualized diagnostic or predictive tools. In addition to the phenotypic information, we can now collect patients´ molecular biological data (e.g., genomics, epigenetics, proteomics), which will enable us to better understand the psychological and molecular determinants of disease development and course. Moreover, integrating these patient-specific molecular signatures in diagnostic and predictive models could eventually help us to develop personalized predictions and individually tailored interventions. Therefore, I am especially interested in the possibilities of applying data mining techniques on a combination of phenotypic and biological data.
I hope that by learning from experts in genetics, biobanking and machine learning within the scope of the IMPRS-TP residency/PhD track, I can acquire the methodological skills needed to work as a researcher and a clinician in the rapidly growing area of personalized care.