Ole Goltermann

Ole Goltermann

Doktorand (Kohortenvertreter)
Forschungsinteressen: • computational modelling of cognitive processes • explainable artificial intelligence for neuroscience • evolutionary molecular variation affecting structural aspects of brain anatomy • Bayesian learning models of pain • theorization and ontology development in cognitive sciences • why psychology matters

 

Akademischer Werdegang

seit 2021     Doktorand, Max Planck School of Cognition, Leipzig
                      Promotionsarbeit am Universitätsklinikum Hamburg-Eppendorf
                      Betreuer: Christian Büchel
                      Lab-Rotationen in der Orientierungsphase: Veronica Witte & Arno Villringer, Simon E. Fisher und Christian Büchel

2019–2021 Master of Science in Psychology (Mind & Brain track), Universität Wien, Österreich

2015–2018 Bachelor of Science in Psychology, Universität Wien, Österreich

2012–2015 Bachelor of Arts in Business Administration & Dual Study Programme at Robert Bosch GmbH in Germany (Hannover, Stuttgart, & Hildesheim) & Malaysia (Penang)
 

Forschungserfahrung

2020–2021 Research collaboration, Department of Social Psychology (Prof. Andreas Mojzisch & Dr. Markus Germar), Universität Hildesheim

2019–2020 Research internship, Emotion, and Methods in Psychology (Prof. Ulrich Ansorge), Department of Cognition, Universität Wien, Österreich

2018–2019 Research internship, Department of Sustainability, Governance & Methods (Prof. Ivo Ponocny), Modul University Vienna, Österreich

2017–2021 Research assistance, Department of Social Psychology (Prof. Arnd Florack), Universität Wien, Österreich

 

Lehre

2019–2021 Statistical advice on personal website: Free (Donation-based, Sea-Watch e.V.) statistical and methodological advice for bachelor and master theses in psychology

2018–2021 Teaching assistant, Department of Social Psychology, Universität Wien, Östereich

2017–2018 Student Advisor, Faculty of Psychology, Universität Wien, Östereich

 

Stipendien

2016–2020 Merit-based Scholarship Grant of the Austrian Government

2017–2020 Merit-based Scholarship Grant for Disabled Students, Universität Wien, Östereich

 

Publikationen

Goltermann, O.*, Alagoez, G.*, Molz, B., & Fisher, S. E. (2023). Neuroimaging genomics as a window into the evolution of human sulcal organization. bioRvix, 2023-10. https://www.biorxiv.org/content/10.1101/2023.10.23.563571v1

Goltermann, O., & Büchel, C. (2023). Improving fMRI-based prediction of individual pain ratings by accounting for interindividual variance. bioRxiv, 2023-07. https://www.biorxiv.org/content/10.1101/2023.07.06.548050v1

Hofmann, S. M., Beyer, F., Lapuschkin, S., Goltermann, O., Loeffler, M., Müller, K. R., Villringer, A., Samek, W., & Witte, A. V. (2022). Towards the interpretability of deep learning models for multi-modal neuroimaging: Finding structural changes of the ageing brain. NeuroImage, 261, 119504. https://doi.org/10.1016/j.neuroimage.2022.119504

Hofmann, S. M., Beyer, F., Lapuschkin, S., Goltermann, O., Loeffler, M., Müller, K. R., Villringer, A., Samek, W., & Witte, A. V. (2022). Towards the interpretability of deep learning models for multi-modal neuroimaging: Finding structural changes of the ageing brain. bioRxiv, 2021-06. https://doi.org/10.1101/2021.06.25.449906

Büsel, C., Sachse, P., Goltermann, O., & Ansorge, U. (2020). Sense and sensitivity – Using spatial response-compatibility effects to investigate ambiguous word meaning: The case of the German particle Ab. Experimental Psychology, 67(6), 327. https://doi.org/10.1027/1618-3169/a000500

 

Posterpräsentationen und Vorträge

Goltermann, O.*, Hofmann, S. M.*, Villringer, A., Witte, A. V., & Beyer, F. (2023, Juli). Gray matter morphometric changes drive whole-brain deep learning based brain-age predictions [Poster]. Organization for Human Brain Mapping (OHBM) Annual Meeting 2023, Montreal, Kanada. 

Goltermann, O., Horing, B., Finsterbusch, J., Büchel, C. (2023, Juni). A laminar signature for pain in the human insular cortex [Poster]. 48. Jahrestagung Psychologie & Gehirn, Tübingen.

Bayramova, R.*, Goltermann, O.*, Enk, L., Hinrichs, M. A. B., Kamp, F., Serio, B., & Hofmann, S. (2022, August/September). Explainable AI for higher cognitive functions: How to provide explanations in the face of increasing complexity [Vortrag]. 22nd Conference of the European Society for Cognitive Psychology, Lille, France.

Goltermann, O.*, Bayramova, R.* (2022, Juli). Explainable AI for modelling cognition [Vortrag]. Cognitive Computational Neuroscience Unification Trial, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig.

Goltermann O.*, Bayramova, R.*, Enk, L., Hinrichs, M. A. B., Kamp, F., Serio, B., & Hofmann, S. (2022, Juli). Explainable AI for higher cognitive functions: How to provide explanations in the face of increasing complexity [Flash talk]. Neuromatch Academy, online.

Goltermann, O.*, Hofmann, S. M.*, Villringer, A., Witte, A. V., & Beyer, F. (2022, Juli). Deep neural networks interpret white matter lesions as a signature of higher-brain-age [Poster]. Organization for Human Brain Mapping (OHBM) Annual Meeting 2022, Glasgow, Schottland.

Goltermann, O.*, Hofmann, S. M.*, Villringer, A., Witte, A. V., & Beyer, F. (2022, Juni). Deep neural networks interpret white matter lesions as a signature of higher-brain-age [Poster]. 11th International Max Planck Research School on Neuroscience of Communication (IMPRS NeuroCom) Summer School, Leipzig.

Goltermann, O. (2020, Februar). Computational modelling of social learning and social influence using ML algorithms of reinforcement learning [Vortrag]. Colloquium Series for Social Psychology, Universität Hildesheim..

* geteilte Erstautorenschaft

 

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