Our research group seeks to link the macroscopic symptoms of aging to their molecular origins. In aging, a variety of mechanisms contribute at short, medium, and long time scales. Furthermore, aging appears to involve a substantial degree of random chance. To tackle this complexity, we incorporate techniques from a wide range of fields–molecular genetics, reliability engineering, bioinformatics, statistical physics, survival analysis, high-throughput imaging, and stochastic modelling. Focusing on C. elegans as a model system, we seek to develop experimental and computational methods in parallel to help us characterize where, when, and why aging occurs, and how we might effectively intervene in its progression.