Phil Brodrick

Understanding interactions using optimization and statistical learning

Understand interactions using optimization and statistical learning

Mitigating global change requires aggressive efforts to better understand and interface with earth and energy systems.  It is imperative to simultaneously advance our long-term climate management strategies as well as to improve our tactical response in the face of immediate threats, even when our understanding of these threats is incomplete.  My work focuses on the use of systems analysis and computational optimization as tools to help rapidly address these issues across a broad range of applications.

Presently, I am a postdoctoral research fellow at the Carnegie Institution for Science in the Department of Global Ecology, working with Greg Asner and the Carnegie Airborne Observatory.  Prior to working at Carnegie, I completed my PhD at Stanford University in the Energy Resources Engineering department studying under Adam Brandt and Lou Durlofsky.

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Want to get in touch?  The best way to contact me is email - please don't hesitate to reach out!