Novel method development
- EEG analysis methods
- AI-based eye-tracking (“DeepEye”)
- Enriching Natural Language Processing (NLP) methods
- Functional and anatomical network analyses
- Integration of different neuroscientific modalities (multi-modal imaging)
Decomposing cognitive functioning across the lifespan in health and disease
- The Neurometric Test-Battery
- A neurometric approach to cognitive aging
- Prediction of psychiatric disorders in a large pediatric sample
Using Artificial Intelligence to identify digital markers for health
- AI-based scoring of a neuropsychological test: The Rey-Osterrieth Complex figure
- Natural Language Processing as a screening test for psychosis
- Real-life activity tracking as pre-screening tool for pre-symptomatic Alzheimer disease
To explore these scientific questions, we use a variety of psychological and neuroscientific methods:
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Electroencephalography (EEG)
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Structural and functional magnetic resonance imaging (sMRI & fMRI)
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Diffusion Tensor Imaging (DTI)
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Oculomotor and pupillometry (eye-tracking)
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Psychophysiology (ECG, EDA)
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Acoustic voice recordings and voice analyzes
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Tablet-based experiments
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Laboratory / behavioral experiments
Scientific Career
| since 2022 | Associate Professor, University of Zurich, Zurich (Switzerland) |
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2016-2022 |
Assistant Professor with "tenure track", University of Zurich, Zurich (Switzerland) |
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2013–2015 |
Endeavor Scientist, Child Mind Institute, New York (USA) |
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2013–2015 |
Postdoctoral Researcher, City College of New York, New York (USA) |
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2012–2013 |
Postdoctoral Researcher, Harvard Medical School, Childrens Hospital Boston, Boston (USA) |
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02/2012 |
Doctoral Student (Neuropsychology), University of Zurich, Zurich (Switzerland) |
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03/2012 |
International PhD Program, Center for Neurosciences Zurich, Zurich (Switzerland) |
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2002–2008 |
lic. phil. in Psychology, University of Zurich, Zurich (Switzerland) |
Publications: Google Scholar