Complex Networks in Social Systems, Higer-Order Models in Network Science
MS37 Scientific Software Tools for Safety, Reliability and Risk Assessments of Structures and Systems.
My research interests lie in developing and quantifying a robust understanding of urban resilience with a focus on complex interdependent infrastructure systems.
I am the lead developer of pathpy, an OpenSource python package for the analysis of time series data on networks using higher-order and multi-order graphical models.
My new research project Cloud Simulations. A cloud-based computational platform to estimate risk and resilience of buildings and infrastructure systems.