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Dr. Mattheisen received his MD from the University of Bonn and holds joint appointments in the Faculty of Medicine's Department of Community Health and Epidemiology and the Faculty of Computer Science. He furthermore is Adjunct Professor at the LMU in Germany, and the Karolinska Institute in Sweden. As a physician with a strong background in genetic epidemiology, biostatistics, bioinformatics, and molecular genetics, Dr. Mattheisen's research focuses on translating genetic findings into clinical diagnostics and care in a global mental health setting (with close collaborators in East and South Asia, Africa, North and South America, and Europe). The underlying motivation for this work is to connect knowledge bases across phenomics, molecular genetics, and biostatistics/bioinformatics as a foundation in all four research domains.
I am a 3rd-year undergraduate student at Dalhousie University majoring in Psychology. I am especially interested in research on youth with obsessive-compulsive disorder. I have previously worked in a clinical setting to implement behavioural treatment programs for youth with autism spectrum disorder. I currently work as a research assistant, with affiliations to both the PROSIT Lab and GECCo Lab.
I am a 4th year PhD student at Humboldt University and a research assistant at the Institute of Psychiatric Phenomics and Genomics at the University Clinic of the LMU Munich, with affiliations to Dalhousie, Karolinska Institutet & Aarhus University. My research focuses on the genetic risk factors of psychiatric disorders, especially of obsessive-compulsive disorder (OCD), anxiety disorders (ANX), Tourette's syndrome (TS), and hoarding disorder, using state-of-the art quantitative genome-wide methods and statistical tools. I am also involved as a lead analyst with the Psychiatric Genomics Consortium (PGC), especially in the OCD/TS and ANX groups.
I graduated with a master’s in computer science from Dalhousie University with a focus on Data Science and Artificial Intelligence.
My interests lie in building data systems and exploring various techniques that help with the analysis of large datasets. As part of the GECCO lab, I’m working on the analysis of human Genome data and researching its correlation with mental health.