Das Klinikum

Dr. rer. nat. Stefanie Liebe

Dr. rer. nat. Stefanie Liebe

Clinician Scientist /Resident in Neurology and Epileptology

I am a Clinician Scientist interested working at the intersection of clinical and systems neuroscience and use AI-based data analysis to understand neural mechanisms of physiological and pathological brain activity and advance diagnostic tools in clinical neuroscience.

Kontakt

Telefonnummer: 07071 29-80442

E-Mail-Adresse: stefanie.liebe@uni-tuebingen.de

Klinik / Institut / Zentrum

  • Epilepsie, Schwerpunkt prächirurgische Anfallsdiagnostik / Video EEG Monitoring
  • Crossing the bridge between clinical work and research

    I am a Clinician Scientist funded by the MINT Clinician Scientist Program at the University Hospital Tübingen. My research interests lie at the intersection of systems neuroscience, epilepsy and medical AI. I have a multi-disciplinary academic background with degrees in medicine, psychology and systems neuroscience. During my PhD at the Max Planck Institute for Biological Cybernetics in Tübingen I studied neural mechanisms underlying vision and memory using extracellular recordings of single unit activity and local field potentials. I continue to work on similar topics using cellular recordings from human epilepsy patients. A strong focus of my work is to apply AI methods to better understand neural mechanisms of physiological and pathological brain activity and support clinical decision making with a specific focus on epilepsy. I have built an interdisciplinary team of young researchers - check out our website!

    homepage
  • 08/2016-08/2020Research Fellow (AG Prof. Florian Mormann, Cognitive and Clinical Neurophysiology, Clinic for Epileptology / University Hospital Bonn
  • 08/2018-08/2020Resident Epileptology, Clinic for Epileptology at the University Hospital Bonn
  • 09/2020-presentResident, Department of Neurology with focus on Epileptology
  • Stefanie Liebe, Matthijs Pals, Johannes Niediek, Jakob Macke, Florian Mormann (2025). Phase dependent maintenance of temporal order in biological and artificial recurrent neural networks. Nature Neuroscience, 28, pages 873–882 (2025)
  • Publikationen
  • Vorlesung 'Epilepsie' , Studiengang Pflege B.Sc. Universität Tübingen