Michael Schweinberger

Michael Schweinberger is a Professor of Statistics at The Pennsylvania State University (Penn State), affiliated with the Eberly College of Science. Previously, he served on the faculty of Rice University and held visiting positions at the University of Washington, Seattle, and the University of Missouri, Columbia. He also held postdoctoral positions at Penn State and the University of Washington. Schweinberger earned his Ph.D. in Statistics from the University of Groningen, Netherlands.

His research focuses on the statistical science of networks, including applications to artificial intelligence, neuroscience, genetic diseases, epidemiology, social media, and economics. He emphasizes developing scalable models and methods for large networks, causal inference in networked systems, and high-dimensional data analysis. His work has been funded by the U.S. National Science Foundation (NSF), the U.S. Department of Defense (DoD), and the Netherlands Organisation for Scientific Research (NWO).

While no specific scientific awards are listed, his contributions to network statistics are recognized through editorial roles with journals such as the Journal of Computational and Graphical Statistics and the Journal of Statistical Software. He also served as a reviewer for prestigious institutions like the European Research Council (ERC) and the German Research Foundation (DFG).

Schweinberger has advised two Ph.D. students: Jonathan R. Stewart and Sergii Babkin. He has also served on 17 Ph.D. committees. His teaching portfolio includes courses on statistical learning with networks, stochastic modeling, and mathematical statistics.