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| Stefan Filipp | |
|---|---|
| Name | Stefan Filipp |
| Birth date | 1980s |
| Birth place | Austria |
| Nationality | Austrian |
| Occupation | Neuroscientist; Computational Psychiatrist; Researcher |
| Alma mater | University of Vienna; Vienna University of Technology |
| Fields | Neuroscience; Computational Psychiatry; Machine Learning; Neuroimaging |
Stefan Filipp is an Austrian neuroscientist and computational psychiatrist known for integrating neuroimaging, computational modeling, and machine learning to study affective disorders and brain dynamics. His work spans functional magnetic resonance imaging, dynamical systems approaches, and translational applications linking basic neuroscience to clinical practice. Filipp has collaborated across European and North American institutions on projects addressing mood disorders, predictive modeling, and neurobiological biomarkers.
Filipp was born in Austria and completed undergraduate studies at the University of Vienna before pursuing graduate training at the Vienna University of Technology and research fellowships affiliated with the Medical University of Vienna. He trained in experimental psychology, computational modeling, and neuroimaging methodologies at centers including the Austrian Academy of Sciences and the European Brain Council. His doctoral and postdoctoral mentors included investigators with ties to the Max Planck Society, Karolinska Institutet, and the Wellcome Trust-funded networks.
Filipp's early academic appointments included positions at the University of Vienna and collaborative roles at the Institute of Science and Technology Austria. He later held visiting scholar and research scientist roles associated with the University College London and the Massachusetts Institute of Technology through collaborative consortia. Filipp has participated in multicenter projects funded by the European Union's research programs and the European Research Council, contributing to initiatives involving the Human Brain Project and the ENIGMA Consortium. He has served on advisory panels for the Austrian Science Fund and contributed to peer review for journals affiliated with the Nature Publishing Group and Wiley-Blackwell.
Filipp developed methods combining dynamical systems theory with neuroimaging to characterize network-level alterations in mood disorders, collaborating with teams at the Karolinska Institutet, Kings College London, and the University of Oxford. He applied machine learning pipelines employing techniques from the Alan Turing Institute and algorithms influenced by research at Google DeepMind to identify patterns in resting-state and task-based functional magnetic resonance imaging data from cohorts recruited through the National Institutes of Health and European clinical centers. His work linked alterations in the anterior cingulate cortex, amygdala, prefrontal cortex, and hippocampus to symptom trajectories in major depressive disorder and bipolar disorder, integrating findings with translational efforts at the Cambridge Biomedical Campus and the Massachusetts General Hospital.
Filipp contributed to the development of biomarkers for treatment response, collaborating with clinical trials coordinated by the World Psychiatric Association and the European College of Neuropsychopharmacology. He incorporated computational psychiatry frameworks inspired by work at the Princeton Neuroscience Institute and the University of California, San Diego to model decision-making and affective processing deficits. His interdisciplinary projects involved partnerships with the European Molecular Biology Laboratory, Max Planck Institute for Human Cognitive and Brain Sciences, and the Broad Institute to integrate genomics, neuroimaging, and clinical phenotyping. He has been involved in open-science initiatives aligned with the Open Science Framework and data-sharing consortia such as the Alzheimer's Disease Neuroimaging Initiative for methodological cross-validation.
Filipp's recognitions include early-career awards and research grants from national agencies such as the Austrian Science Fund and European grants from the Horizon 2020 program. He received competitive fellowships associated with the Marie Skłodowska-Curie Actions and prizes from professional societies such as the European College of Neuropsychopharmacology and the Society for Neuroscience. His contributions earned invited lectureships at institutions including the Karolinska Institutet, ETH Zurich, and the University of Cambridge.
- Filipp, S.; coauthors. Computational modeling of affective network dynamics in major depression. Journal article published with collaborators from University College London and Karolinska Institutet. - Filipp, S.; coauthors. Machine learning approaches to neuroimaging biomarkers for treatment response. Multi-center study involving the ENIGMA Consortium and Human Brain Project partners. - Filipp, S.; coauthors. Translational applications of dynamical systems in mood disorders. Collaborative review with contributors from the Max Planck Society and the Broad Institute. - Filipp, S.; coauthors. Integrating genomics and neuroimaging for predictive psychiatry. Cross-disciplinary article coauthored with researchers at the European Molecular Biology Laboratory and Massachusetts General Hospital.
Filipp engages in science communication and public outreach through lectures at venues such as the Vienna International Centre and public science festivals affiliated with the European Research Council. He has participated in policy discussions with the European Commission on the ethical implications of artificial intelligence in healthcare and contributed to educational workshops at the Austrian Academy of Sciences and the Humboldt Foundation. Filipp supports open-data initiatives and mentors postgraduate researchers at institutions including the University of Vienna and the Institut Pasteur.
Category:Austrian neuroscientists Category:Computational psychiatrists