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.

 

Top-5 Publications

 

Wolfers, T., ..., 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., ..., Marquand, A.F. (2018). Mapping the heterogeneous phenotype of schizophrenia and bipolar disorder using normative models. JAMA Psychiatry.

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Wolfers, T., ..., Marquand, A.F. (2019). Individual differences v the average patient: mapping the heterogeneity in ADHD using normative models. Psychological Medicine.

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Wolfers, T., ..., Westlye L.T. (2021). Replicating extensive brain structural heterogeneity in individuals with schizophrenia and bipolar disorder. Human Brain Mapping.

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Leonardsen E., ..., Westlye L.T.#, Wolfers, T.#, Wang, Y.# (2022). Deep neural networks learn general and clinically relevant representations of the ageing brain. NeuroImage.

# shared last author

 

Check out my google scholar account here.

Work Opportunities

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