Andreas Ziehe

Andreas Ziehe serves as a Postdoctoral Researcher at the Berlin Institute for the Foundations of Learning and Data (BIFOLD), affiliated with the Technical University of Berlin, where he contributes to the machine learning group.

His academic credentials include:

• PhD in Computer Science (2005) from the University of Potsdam
• Diploma degree in Computer Science (1998) from Humboldt University of Berlin

His research spans Biomedical Signal Processing, Speech and Audio processing, Independent Component Analysis, and Computational Neuroscience, with emphasis on machine learning applications for neural data analysis and audio systems. This interdisciplinary work bridges engineering methodologies with neuroscience challenges.

Prior to joining BIFOLD in 2022, Dr. Ziehe held postdoctoral researcher and project leadership roles at both the Fraunhofer Institute FIRST and Technical University of Berlin, demonstrating sustained research continuity within Berlin's academic ecosystem.