Alexandra Korda, PhD
Translational Psychiatry, Department of Psychiatry and Psychotherapy, University of Lübeck
- Biomedical Engineer
- 0000-0001-8843-4951
- Google Scholar Profile
- ResearchGate Profile
Group Leader
Co-PI at Translational Psychiatry Network (EU Next Generation fund)
Visiting Researcher at GraC-lab for the project EU project ‘The Delta of language’,
Education
2002-2008 Diploma & Master, Applied Mathematics and Physical Sciences, ECE, National Technical University of Athens (Greece)
2008-2010 Master, Biomedical Engineering, ECE, National Technical University of Athens and University of Patras (Greece)
2011-2017 PhD, Oculomotor signal processing using AI and mathematical modelling, ECE, National Technical University of Athens (Greece)
Professional Experience
2009-2015 Tutor of Mathematics in private high school, Athens (Greece)
2013-2015 External Associate at MED.I.S.P. Lab, Department of Biomedical Engineering, Technological University of Athens (ARCHIMEDES; Greece)
2015-2017 Data Scientist at Ernst&Young, Athens (Greece)
2017-2018 Consultant at IRI Worldwide, Athens (Greece)
2017-2018 Postdoctoral researcher, Oculomotor signal processing using AI and mathematical modelling, ECE, National Technical University of Athens (Greece)
2018-2020 Postdoctoral Researcher, Brain sMRI for identification of psychosis using explainable AI, LVR-Clinic, Düsseldorf (Germany)
2020-present Postdoctoral Researcher, Multimodal analysis for identification of psychosis using explainable AI, University of Lübeck & University Hospital Schleswig-Holstein (ZiP) (Germany)
Selected publications:
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Alexandra I. Korda, Christina Andreou, Helena Victoria Rogg, Mihai Avram, Anne Ruef, Christos Davatzikos, Nikolaos Koutsouleris, Stefan Borgwardt. Identification of texture MRI brain abnormalities on first-episode psychosis and clinical high-risk patients using explainable artificial intelligence. Translational Psychiatry 12 (1), 481, 2022, IF: 6.2, PMID: 36385133
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Lea Mineur, Svea Horstmann, Berat Arslan, Christina Andreou, Marco Heide, Sofia Eickhoff, Mihai Avram, Kaja Berg, Kristina Sophie Hedelt, Léon Franzen, Frederike Buschmann, Frederike Schröpfer, Helena Victoria Rogg, Bartosz Zurowski, Heinz Handels, Stefan Borgwardt, Alexandra I. Korda*. Neutral sentiment on patient’s speech can predict the depressive symptom severity transdiagnostically, Journal of Affective Disorders, 119990, 2025, IF: 4.9, PMID: 40730289
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Giorgos Giannakakis, Anastasios Roussos, Christina Andreou, Stefan Borgwardt and Alexandra I. Korda. Stress detection based on facial action units, machine, deep learning and explainable artificial intelligence, Computers and Programs in Biomedicine, 2025, IF 4.8, PMID: 39608217
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Yaxin Hu, Marina Frisman, Christina Andreou, Mihai Avram, Anita Riecher-Rössler, Stefan Borgwardt, Erhardt Barth* and Alexandra I. Korda*, Brain Fractal Dimension and Machine Learning can predict first-episode psychosis and risk for transition to psychosis, Computers in Biology and Medicine, 193, 2025, IF: 6.3, PMID: 40424766
- Dominic B Dwyer, .., Stefan Borgwardt,…, Alexandra Korda, PRONIA Consortium, Clinical, brain, and multilevel clustering in early psychosis and affective stages, JAMA psychiatry, 79(7), 2022, IF: 22.5, PMID: 35583903
The most recent publications can also be viewed on Alexandra Korda’s Google Scholar profile.
Best paper awards
Grant
awarded by the University Hospital Schleswig-Holstein (UKSH) Foundation to Alexandra Korda (PI) for the project entitled “Intelligent health solutions for digitally informed psychiatry” (10,000 € for technical equipment)