Michael Huber has been a PhD student at the Complexity Science Hub’s Digital Innovation School since August 2026, supervised by Frank Neffke.

In his PhD, he is working on large-scale digital traces of work and skills, with a focus on the software industry.

Michael received his master’s degree in Logic and Computation from TU Wien, with a thesis entitled “Connection or Coincidence? Analytical Null Models for Co-Occurrence in Bipartite Multigraphs.” In this work, he developed a family of statistical tests for determining whether an observed overlap between two entities can be explained by random chance or might instead indicate a connection. He previously completed a Bachelor’s in Computer Science at TU Wien, specializing in algorithmics and graph theory.

He first came to CSH in March 2025 as a visiting student, working with Eddie Lee on reconstructing organizational structures from the online reading patterns of millions of firms.

Alongside his doctoral studies, Michael is pursuing a Master’s in Epistemologies of Science and Technology at the University of Vienna.