About
Chris is a Senior Environmental Sensing Technician in the ES@S research and enterprise unit within Geography and Environmental Science. His role spans the full data lifecycle, from collection of data in the field to the analysis and presentation of results, supporting research projects and delivering services for external clients.
Chris' research background varies from developing sensor systems and monitoring routines to investigate interactions between vegetation and flow in river systems, through to applying machine learning techniques to enhance our understanding of sediment delivery in some of the world’s largest rivers. This work has equipped him with a broad skill set, covering data acquisition, processing, machine learning, and modelling.
Chris has contributed to a wide range of research and commercial projects, working in diverse environments from catchment management areas to coastal zones. He frequently employs autonomous surveying platforms such as UAVs and USVs, alongside terrestrial data collection methods, to support his work.