Research interests

The functions provided by managed ecosystems are critical to human well-being. Understanding and predicting how organisms within these systems interact, contribute to key functions, and respond to change are key factors in developing sustainable systems that protect the services we value.

I am a quantitative ecologist based in the Zipkin lab in the Department of Integrative Biology at Michigan State university. My research focuses on understanding and quantifying long term patterns in trophic interactions. Using predator-prey communities in managed ecosystems, I develop statistical and mathematical models to understand how members of predator communities interact in time and space, respond to disturbances like climate change and invasions, and how these interactions impact functions like herbivory and plant productivity.

Asking questions about systems at scale requires collaboration, integration of disparate data, and sound data management practice. This has led to my interest in improving data management, policy, and teaching about best practices. 

The first offering of my course,  Reproducible Quantitative Methods was delivered to a to a group of six graduate students in Spring 2016. Check out my blog to read about how it all went.  If you're interested in teaching RQM yourself, check out the instructor guide I developed, or the Spring 2017 offering webpage (currently underway) to follow along!  You can also catch a selection of my guest lectures with people from the open science community on my youtube channel. 

Check the news page to see what else I've been up to lately.

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