My research aims to understand the dynamics of animal interactions and ecological networks. It focuses on behavioural interactions at a community level to explore how and why animals interact. I am particularly interested in understanding how changing ecological, environmental, and social conditions influence interaction outcomes in reef environments. 

I am currently investigating how different species are intertwined across different interaction types (e.g. cooperation, competition and predation) and how these multiple relationships contribute to the health and stability of ecosystems. I am using supervised machine learning, an artificial intelligence method, to construct a reef-based ecological network, which will capture the interconnectedness of multiple interaction types that occur between Galapagos reef species. This network will provide a conservation tool to study the structure and resilience of reef ecosystems.

I am also continuing my PhD research, which identified conditions that cause variation in cleaner and client interaction decisions. I am using a unique and extensive long-term (8 year, 2010 - 2017) dataset which captures the cleaning interactions between a predominant Caribbean cleaner fish (Elacatinus evelynae) and over 47 different client fish species on the same reef in Tobago.