Anything graphs, such as graph algorithms, graph theory, graph mining, graph learning, and network analysis; recently with an emphasis on hypergraphs and higher-order relations.
Anything data, including collection, cleaning, modeling, analysis, communication, and the question of what data is.
Interdisciplinary and transdisciplinary research on complex systems.
As a recovering lawyer, I sometimes do
legal data science projects, too.