Research Scientist
Mathematics Cluster
Frame Theory and its Implementation
Machine Learning

Tel.+43 1 51581-2558
Email: clara.hollomey(at)


Academic Background

Clara Hollomey studied Electrical engineering – Audio engineering at the the University of Music and performing Arts Graz and the University of Technology Graz, where she received her Dipl.-Ing. (with distinction) for a thesis on „Real time spectrogram inversion“. Her PhD research (2014-2018) on modeling musical timbre perception was conducted at Glasgow Caledonian University and the MRC Institute for Hearing Research. During her PostDoc at the Technical University of Munich, she investigated the effects of line source width on binaural cues and implemented real-time algorithms for virtual acoustics. In 2020, she joined the startup navel robotics for the development of acoustic SLAM (simultaneous localization and mapping) algorithms in humanoid robots, before she took up employment at the Acoustics Research Institute.

Current Research

Clara Hollomey works on the development of the Large Time Frequency Analysis Toolbox (LTFAT). Her research focuses on the development of audio signal processing algorithms and models of the human auditory system. Until 2023, she was the main developer of The Auditory Modeling Toolbox (AMT) software at the ARI of the OeAW for more than three years.