About Me

About Me

I’m a PhD student at the Network Science Institute at Northeastern University in Boston and junior fellow at the Complexity Science Hub Vienna. I’m supervised by Brennan Klein in close collaboration with with Dmitri Krioukov, Tina Eliassi-Rad, and Sam Scarpino.

My research interest lie at the intersection of network science and machine learning. I enjoy thinking about how mechanistic and statistical modeling paradigms can be combined to better understand complex dynamical systems. Conceptualizing machine learning models themselves as complex systems, I also use insights from network science to design efficient and reliable algorithms.

Background

I received a Bachelor’s and Master’s degree in Physics from Karlsruhe Institute of Technology (KIT), where I worked on projects in theoretical particle physics with Magarete Mühlleitner and quantum technology with Wolfgang Wernsdorfer. I continued my education in the Computational Science Master’s program at the University of Vienna. During my master thesis I worked with Stefan Thurner and Peter Klimek at the Complexity Science Hub Vienna, on the propagation of supply shocks in food trade networks.