I am a PhD student in the Computational Neuroscience of Speech & Hearing research group led by Nathalie Giroud, where I joined in January 2021. I am passionate about everything related to data and neuroscience, computational neurophysiology and psychology. And I love working with study participants and mentoring student thesis projects! I am also a fellow of The International Max Planck Research School on the Life Course (LIFE IMPRS).

Current research

In my doctoral thesis "Investigating Cognitive Decline through Computational Neurophysiology: Auditory Speech Processing and Hearing Loss", I am investigating speech processing in the brains of older adults. I am particularly interested in identifying neural markers that may provide early signs of cognitive impairment. To this end, I collect data using the Linguistic Research Infrastructure (LiRI), where I perform cognitive and audiometric testing, as well as electroencephalography (EEG) measurements with elderly participants. Using machine learning and statistical models, I analyze the brain's response to speech input at the subcortical and cortical levels, as well as to acoustic and higher-level linguistic features in the speech signal. In my data analyses, I particularly benefit from the work by the developers of MNE. I usually publish my computational pipelines along with the manuscripts on my GitHub account.

Previous research

I hold a Master of Science in Psychology with a focus on Cognitive Neuroscience from the University of Zurich. During my Master's studies, I conducted research in the domain of Cognitive Neuroscience of the Bodily Self under the supervision of Bigna Lenggenhager, specifically on the topic of virtual gender swap and auditory self-awareness from a first- versus third-person perspective.