My research looks at how we can learn interpretable graph structures directly from data without relying on heuristics that simplify (or, in most cases, obfuscate) the structure-learning signal. Structure learning is, in my opinion, a hugely important and undervalued research area, as graph structure is the foundation upon which all the recent successes of graph neural networks implicitly rely.