As an associate professor of neuroscience, I conduct research on how the brain perceives, learns and passes on music. In my work, I am particularly interested in why people differ in their musical abilities, and how these differences shape music as it spreads from person to person. I have a background in biology and cognitive neuroscience and have experience with brain scanning (MRI, EEG) and brain network analysis. My current roles include supervising young researchers and journal editing.
I research music and the brain, focusing on why people differ in musical ability and how those differences shape musical traditions. Using brain scanning (MRI, EEG), experiments in which music passes from person to person, and machine learning, I aim to link individual brains to cultural change. My research helps scientists and the public understand how biology and culture together shape the music we share.
I mainly teach in music neuroscience courses and technical workshops on brain data analysis. I have also supervised 25 young researchers, from bachelor to PhD level, and completed the University Pedagogical Programme.
My primary area of responsibility is research on music and the brain at the Center for Music in the Brain, including planning and leading brain-imaging studies, analysing data and publishing the results. I also contribute to teaching and supervising PhD, master’s and bachelor students and research interns, to assessment committees for academic positions, and to peer review and editorial work for scientific journals.
