My vision as a researcher is to understand and model the brain using state-of-the-art machine learning models. 

My research interests for my current PhD are to find optimal ways to incorporate spatial information in neurophysiological signal processing. Methods I have explored so far include graph signal processing and neural networks. Important aspects of my work include complexity reduction, explainable AI, and simulation-based validation. I am conducting my research under the joint supervision of Dr. Fei He in Coventry and Dr. Min Wu in Singapore.

I obtained my B.Sc. and M.Sc. in physics at Heidelberg University, where I carried out research on x-ray quantom optics and machine learning-assisted computed tomography. In my last year, I joined a training program for computational neuroscience, with on-site training at the University of Oldenburg and the Bernstein Center for Computational Neuroscience Berlin. Afterwards, I conducted research on consciousness from a computational perspective at the Université Libre de Bruxelles, Brussels. In 2021, I started my current collaborative PhD program at Coventry University and the Agency for Science, Technology and Research, Singapore.