For the passion of revealing stories in relational data

We study information flows through social and biological systems to comprehend their inner workings. By simplifying myriad network interactions into maps of significant information flows, we can address research questions about how diseases spread, plants respond to stress, and life distributes on Earth. Our goal is to generate reliable predictions and suggest successful strategies to secure a sustainable future.

Science network map globe

Selected publications

Human activity is altering the world’s zoogeographical regions

Zoogeographical regions, or zooregions, are areas of the Earth defined by species pools that reflect ecological, historical and evolutionary processes acting over millions of years...

Higher-order Markov flows

Understanding Complex Systems: From Networks to Optimal Higher-Order Models

Rich data are revealing that complex dependencies between the nodes of a network may not be captured by models based on pairwise interactions. Higher-order network models go beyond these limitations, offering new perspectives for understanding complex systems.

Mapping change in large networks

Change is a fundamental ingredient of interaction patterns in biology, technology, the economy, and science itself: Interactions within and between organisms change; transportation patterns by air, land, and sea all change; the global financial flow changes; and the frontiers of scientific research change…

Map of science

Maps of random walks on complex networks reveal community structure

To comprehend the multipartite organization of large-scale biological and social systems, we introduce a new information-theoretic approach to reveal community structure in weighted and directed networks…