Carolin Scholl

Carolin Scholl

Doctoral Candidate
Research interests: • biologically plausible learning and plasticity in artificial neural networks • early neural development and self-organising neural circuits • computational psychiatry and neurology: neuro-cognitive models and reinforcement learning

Academic education

since 2019 Doctoral candidate, Max Planck School of Cognition, Leipzig

2016/2017 & 2018/2019 Master of Science in Computer Science for Graduates in the Humanities and Social Science, Technical University of Chemnitz

2017–2018 Master of Science in Artificial Intelligence, University of Edinburgh, UK

2012–2016 Bachelor of Science in Psychology, Technical University of Dresden

Scientific awards and memberships

2019 Saxonia Woman Award (for female IT graduates)
2018 Claire Jones Prize for best performing females MSc student
2016 Werner Straub Prize for excellent achievements
2015–2016 Scholarship, German Academic Scholarship Foundation


Baranyi, G., Scholl, C., Fazel, S., Patel, V., Priebe, S., & Mundt, A. P. (2019). Severe mental illness and substance use disorders in prisoners in low-income and middle-income countries: A systematic review and meta-analysis of prevalence studies. The Lancet Global Health, 7(4), e461-e471. doi:10.1016/S2214-109X(18)30539-4

© Picture: Nikolaus Brade

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