I joined the lab in October 2025 as a Pre-doc Intern, funded by the Bernstein Center For Neuroscience Berlin (BCCN).

My academic background is in Electrical Engineering (BSc and MSc), with a specialization in signal processing and telecommunication. My interest in computational neuroscience was sparked by recognizing the strong conceptual and methodological links between my engineering expertise and its potential for solving real-world problems in neuroscience. My Master's project directly facilitated this transition, focusing on the application of 3D Convolutional Neural Networks (CNNs) to MRI/DTI images for the diagnosis of Parkinson's disease.

My internship project involves investigating developmental visual processing from infancy through adulthood, utilizing electrophysiological methods, specifically EEG and multivariate pattern analysis (MVPA) techniques.

In my free time, I enjoy watching movies and anime, reading books, and shopping.