About me

Research interests
- brain development
- stroke
- network theory
- machine learning

In 2005 I studied physics at the RWTH Aachen University and received my diploma in 2011. In the last year at the RWTH I focused on theoretical physics, in particular cosmology, and wrote my thesis on the halo mass function. During my studies I spent a year at Osaka University, working on the Terahertz Color Scanner at the Araki laboratory under supervision of Prof. Yasui and Prof. Aaraki.

From 2012-2015 I did my PhD at King's College London, as part of the Division of Imaging Sciences and Biomedical Engineering and the Centre for the Developing Brain. I investigated the development of structural connectivity, in particular in premature babies. In order to do so I utilized network theory, as well as machine learning techniques to allow for group comparisons.

The change from theoretical physics to biomedical engineering and research based on early brain development came from the desire to impact and improve people’s well-being. It allowed me to apply my computational and mathematical background, as well as my skills for problem solving to the growing field of connectomics in the developing brain.

In 2016 I started as a research fellow as part of the J. Philip Kistler Stroke Research Centre at the Massachusetts General Hospital and Harvard Medical School in Boston. My current work focuses on investigating stroke patients, where I investigate the concept of reserve that helps a patient to a better outcome after stroke.

In 2017 I was honored to receive the Marie-Curie Global-Fellowship by the European Union, which supports me in my endeavors to bring methodological advances directly to the clinic.