Emily's research investigates the role of ecological processes on evolution through deep-time, from the first animal communities of the Ediacaran, to the present. The first animal communities are found in the Ediacaran time period, 580 million years ago, which consisted of sessile benthic organisms that lived in the deep-sea. Therefore, to understand how macro-ecology has changed through deep-time, she studies a wide range of different benthic communities from the fossil record and in the modern Antarctic and deep-sea. To collect fossil data in the field, she uses novel field-based laser-scanning techniques from aerospace to digitally capture entire rock surfaces. Emily work on modern systems uses data collected using AOV and ROVs to create 3D digital models. Through the application of statistical and mathematical ecology to the fossil and modern benthic communities, I reconstruct how species interact with each other and their environment, and what the driving factors behind these interactions are. These results then feed into theoretical models to explore how these relationships influence macro-evolutionary patterns over the last 580 million years.
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The dynamics of infectious disease (ID) require fast accurate diagnosis for effective management and treatment. Without affordable, accessible diagnostics, syndromic or presumptive actions are often followed, where positive cases may go undetected in the community, or mistreated due to wrong diagnosis. In many low and middle income countries (LMICs), this undermines effective clinical decision-making and infectious disease containment.
Unsteady effects occur in many natural and technical flows, for example around flapping wings or during aircraft gust encounters. If the unsteadiness is large, the resulting forces can be quite considerable. However, the exact physical mechanisms underlying the generation of unsteady forces are complex and their accurate prediction remains challenging. One strategy is to identify the dominant effects and describe these with simple analytical models, first proposed a hundred years ago. When used successfully, this approach has the advantage that it also gives us a conceptual understanding of unsteady fluid mechanics.
In this lecture I will explain some of these ideas and demonstrate how they can still be useful today. As a practical example, I will show how the forces experienced in a wing-gust encounter can be predicted – and how the predictions can be used to mitigate the gust effects. The lecture will be illustrated with images and videos from simple, canonical, experiments.
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