I am a postdoctoral researcher with an interest in computational processing of neuroimaging data, particularly if it is about diffusion MRI and tractography, as well as the application of modern machine learning techniques.
My background is in engineering mathematics and I received degrees in Scientific Programming (BSc) and Engineering Mathematics (MSc) from the University of Applied Sciences, Aachen, Germany. In parallel to my studies, I gained experience in medical image registration, MRI reconstruction techniques and GPU programming through projects conducted at the Institute of Neuroscience and Medicine at the Research Centre Jülich, Germany. During my PhD studies at the Royal Institute of Technology (KTH) in Stockholm, Sweden, I discovered diffusion MRI and tractography as an exciting topic of research. Particularly, the application of machine learning to address current challenges of the tractography method as well as tractogram filtering was the focus of my work. In general, I am passionate about the application of computational tools for the efficient and reproducible analysis of multimodal image data in the context of neuroscience.
In my free time, I like to consume any type of soccer news (mostly European), but actually, any news does it. I also love playing soccer or doing other summer and winter sports, spending time in nature (or as close as I can get to that), and strumming the guitar.