Phil Brodrick

Understanding interactions using optimization and statistical learning

Understand interactions using optimization and statistical learning

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Earth and Energy Systems

 

Understanding interactions using

optimization and statistical learning

Research Areas

Earth Systems Analysis

Combining data from satellites, aircraft, and fieldwork helps further our basic understanding of ecosystems and allows for insight into conservation practices.  By leveraging  statistical learning and optimization techniques, we can maximize the use and interpretability of remote sensing data to better understand complex earth systems.

Energy Systems Optimization

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Designing, operating, and rebuilding energy systems are tasks that require balancing environmental impacts, economics, and regulations. Computational optimization provides a critical tool to quantify and balance tradeoffs in this multifaceted space.