I am a cross-disciplinary researcher with a primary focus on the cognitive and cultural-evolutionary foundations of music.
My research examines the relationship between individual cognition and emerging population-level phenomena, asking how internal representations of melodic and harmonic structure scale up to form distinct musical “blueprints” across traditions. In this view, Western cadences—despite their cultural specificity—can be understood as attractor states specialised in expressing a limited yet widely shared set of emotions.
More broadly, I study evolutionary processes operating on culture, which shape how transmitted systems of communication and meaning-making—language and music being prime examples—diversify and differentiate across populations.
Alongside my theoretical and empirical work, I bring a strong quantitative and computational background. My research routinely involves experimental design, statistical modelling, signal processing, and data analysis across behavioural, acoustic, and neuroimaging datasets. I work with reproducible, code-driven workflows and large, heterogeneous datasets, and I am interested in methodological questions at the interface of cognitive science, neuroscience, and data science.
I address these interdisciplinary questions using complementary methodologies:
Computational modeling, simulation, and corpus analyses: Test intuitions from music theory using the tools of digital humanities.
Neuroimaging and cognitive psychology: Observe behavioral and (neuro)physiological responses to music in light of known mechanisms.
Cultural evolution: Interpret these mechanisms to understand the origins of music and language, thereby developing comprehensive, testable theories.
Data science, machine learning, and signal processing: Identify and interpret patterns of variability and their sources.
This multi-faceted approach allows me to build a holistic understanding of how music and language evolve and diversify across cultures.
My work has been published in journals such as Science, Cortex, Neuropsychologia, Scientific Reports, and Behavioural and Brain Sciences; as well as featured in media outlets such as the BBC and the ÖRF.
PhD Experimental Psychology, University of Oxford (2015)
MSc Psychophysics, University of Durham (2009)
BSc Electronic Engineering, Politehnica University of Bucharest (2007)
2024-present: Principal Investigator (FWF grant P-36215), Department of Cognition, Emotion, and Methods in Psychology, University of Vienna
2022-2024: Principal Investigator (STARS Starting Grant), Department of General Psychology, University of Padova
2021-2022: Seal of Excellence fellow (Marie Skłodowska-Curie Actions), in Prof. M. Tettamanti’s Brain & Language Group, Centre for Mind/Brain Sciences (CIMeC), University of Trento
2018-2020: Postdoc in research cluster Music and Language in the Brain, with Profs. T. Fitch & R. Beisteiner, University of Vienna & Medical University of Vienna
2015-2017: Postdoc in the Dresden Music Cognition Lab with Prof. M. Rohrmeier, TU Dresden
Member, evolVienna (interdisciplinary evolutionary research network)
Network Associate, Vienna Cognitive Science Hub (interdisciplinary cognitive science research network)
Member, Sounds and Science (science–music outreach and public engagement initiative)
Secretary, Society of Interdisciplinary Musicology
Member, European Society for Cognitive Psychology
Member, Society for Music Perception and Cognition
Member, Society for Education and Music Psychology