student : Ian BolligerMS, PhD

Ian’s interests lie in predicting regional impacts of climate change on coastal communities and on water management systems, as well as in developing tools to facilitate efficient resource management that is adaptive to these impacts. Currently, he is developing a spatially-resolved, probabilistic quantification of the economic risk of climate-driven changes to hurricane frequency and intensity. He is also developing scalable algorithms for efficiently predicting socioeconomic variables using satellite imagery. Finally, he is using LiDAR-derived snow depth datasets to improve spring and summer streamflow forecasts. In the past, Ian has developed statistical optimal control algorithms for distributed renewable energy systems and physical models of the interior dynamics of Venus and Europa.

Curriculum Vitae




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