Science is more than my profession, I want to bring tangible progress to the life of people with a mental disorder. Through a focus on individuals as opposed to the disorder as a category, I hope to reduce stigmatization and in the long run improve our capacity to treat mechanisms causing suffering. In doing so, I apply and develop machine learning methods.
I completed a Ph.D. in neuro & data science at the Donders Institute in the Netherlands. Currently, I am working as a Niels Stensen Fellow.
If you are interested in my work you find my key publications below.
In this article published in Science (March, 2020) we link common genetic variants to the structure of the human cerebral cortex. It is one of the largest studies published on this topic conducted by the ENIGMA consortium.
Wolfers, T., Buitelaar, J. K., Beckmann, C. F., Franke, B., & Marquand, A. F. (2015). From estimating activation locality to predicting disorder: A review of pattern recognition for neuroimaging-based psychiatric diagnostics. Neuroscience and Biobehavioral Reviews.
Wolfers, T., Beckmann, C.F., Hoogman, M., Buitelaar, J.K., Franke, B., Marquand, A.F. (2019). Individual differences v the average patient: mapping the heterogeneity in ADHD using normative models. Psychological Medicine.
Wolfers, T., Trung, N.T., Kaufmann, T., Alnæs, D., Moberget, T., Agartz, I., Buitelaar, J.K., Ueland, T., Melle, I., Franke, B., Andreassen, O.A., Beckmann, C.F., Westlye, L.T., Marquand, A.F. (2018). Mapping the heterogeneous phenotype of schizophrenia and bipolar disorder using normative models. JAMA Psychiatry.
Check out my google scholar account here.