Research
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I am particularly interested in examining and detecting changes in species' spatial patterns using a combination of tools. By integrating statistical and spatial models with appropriate environmental variables or combining traditional scientifically-collected datasets with citizen science data, we can begin to understand how species will respond to various anthropogenic and environmental factors. Once we understand how species may respond, we can predict species patterns under specific scenarios (e.g., climate) resulting in more effective management and decision-making.
I especially like working on large-scale and collaborative projects. Such work allows for a group of individuals with different backgrounds and talents to come together to make informed decisions regarding management and conservation. In this way, we can maximize our time, funding, effort, and resources which will hopefully lead to a successful outcome. Much of my past work has included database management and web development, both of which are necessary and effective tools in large-scale monitoring programs. Incorporating these elements into a project often provides immediate and direct feedback to observers, scientists, and collaborators. I've found these aspects of a project to be incredibly well-received and I am happy to bridge the gap between scientists and the general public. The majority of my time is spent at a desk and behind a computer screen. However, on occasion I do have the opportunity to participate in ongoing research projects through field work. Most recently I worked as a field biologist conducting aerial seabird surveys for GoMMAPPS (see the About page for more information). Learn more, and see photos, on the GoMMAPPS page! See the About page or my CV (below) for more about past projects. You can find specific project information, model scripts & code, and project results on my Github page, as well as information regarding collaborative efforts. 
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Last updated March 2022.
