Stories about Paolo Bocchini

illustration of power lines

Schematic: Predicting Wildfires

Research by Professor Paolo Bocchini and doctoral student Xinyue Wang provides the methodology for predicting when powerline ignition is likely in high winds.

wildfire behind power lines

A Mechanistic and Probabilistic Method for Predicting Wildfires

Lehigh researchers explore ignition probabilityan important step in wildfire risk analysis.

researchers in sierra leone

Individual Risk-Factor Data Could Help Predict the Next Ebola Outbreak, New Study Shows

Researchers confirm a relationship between social, economic and demographic factors and the propensity for individuals to engage in behaviors that expose them to Ebola spillover.

A house submerged in floodwaters following a hurricane

A Sharper Focus on Catastrophe Modeling

Paolo Bocchini, Daniel Conus, Brian Davison and their colleagues leverage their collaborative experience in probabilistic modeling to sharpen their focus on catastrophe modeling, a discipline not traditionally explored in academia.