Fields of Expertise
Natural Disasters: Flood, Fire, and Drought, Statistics
Areas of Interest
Extreme values, Spatial statistics, Bayesian modeling, Bayesian computation
Dr. Shaby develops statistical theory and methods to study extreme weather events and high-throughput biological experiments. He works with climate scientists, hydrologists, and wildfire scientists in academia and government to understand and mitigate the risks associated with rare, high-impact events. Dr. Shaby was the recipient of a National Science Foundation CAREER award in 2018 and the American Statistical Association Section on Statistics and the Environment's Early Career Investigator Award in 2016. He completed his Ph.D. at Cornell University in 2009 and held postdoctoral appointments at Duke University and UC Berkeley.