I am Postdoctoral Researcher at the Institute for Data, Systems, and Society at MIT. My research deals with the analysis of complex systems that can be abstracted as networks or graphs. A central methodological issue underlying my research is how one can study and integrate the multiple levels of organization which are commonplace in many systems. By combining ‘bottom-up’ dynamical models, and ‘top-down’ data-driven approaches, and using a blend of tools from control theory, dynamical systems, stochastic processes, machine learning and statistics, my goal is to shed light on key problems in this context.
I studied Electrical Engineering and Information Technology at ETH Zurich with a focus on communication systems. After a MSc in Biomedical Engineering at Imperial College (Neurotechnology stream), I moved to the Mathematics Department to obtain my PhD under the supervision of Prof. Mauricio Barahona and Prof. Sophia Yaliraki. Following a short Postdoc at Imperial, I worked in Belgium at the Université catholique de Louvain and at the University of Namur as a Postdoctoral Research Fellow. In November 2016, I moved to MIT.
CV available upon request
mschaub [at] mit.edu
Institute for Data, Systems, and Society
Massachusetts Institute of Technology
77 Massachusetts Avenue, E17-421B
Cambridge, MA, 02139