This research investigates how landslides disrupt New Zealand's road network. By analysing past landslides, linking landslide severity to road impacts, and combining these relationships with landslide forecasts, the project aims to predict future road closures, improve emergency planning, reduce community isolation, and enhance public safety during severe weather and earthquakes.

This research improves flood prediction by analysing data from more than 3,000 rivers worldwide and using local fitting techniques to compare similar weather events. By relying on relevant historical data rather than human intuition, the model aims to produce more accurate flood forecasts and strengthen disaster preparedness under climate change.

Victor's research investigates dynamic weakening, a process that can allow small earthquakes to grow into devastating megaquakes. Using supercomputer simulations of the San Andreas Fault, the study explores how stress, fluids, friction, and neighboring fault activity may trigger unexpectedly large earthquakes, improving seismic hazard prediction and understanding of earthquake behavior.

Subduction zones generate earthquakes, tsunamis, and volcanoes, yet their behavior varies between regions. This research investigates how water released from subducting plates interacts with surrounding rocks. Using supercomputer simulations, it models hydration-driven cracking and fluid migration, revealing patterns that may influence where earthquakes and volcanic activity occur.