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Tristan Campbell completed his Bachelor of Science degree in Geophysics in 2001 and spent 15 years in the industry focusing on groundwater and engineering environmental projects. He initially worked with a startup that grew to become the largest near-surface geophysics business in Australia. His industry experience allowed him to engage with the latest developments in the field, including 4D electrical resistivity, passive seismic methods, and 3D ground penetrating radar. Concurrently, he began beekeeping, which led to the pursuit of his PhD in Applied Physics, focusing on remote sensing to predict honey harvests. He received his doctorate in 2020, with research aimed at applying spatial data science skills and machine learning in ecological projects. His research interests include data quality and analytical rigor in ecological science, emphasizing the increasing availability of remote sensing data and potential biases in interpreting these data for ecological modeling. He is dedicated to validating the quality of findings through raw data analysis to uncover fundamental relationships within the data.
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