Tom joined BIM Academy in 2017 during his final year of studying computer science at Northumbria University, specialising in machine learning. Tom’s role encompasses computer science research, software development, and combining Building Information Models (BIM) 3D geometry with data from various sources such as building sensors. With prior experience working in software development and data rich environments, he has skills in analysing large volumes of data to drive changes to processes and systems to ultimately improve customer satisfaction, operational performance and growth. Tom is working towards applying machine learning to the build environment to help make sense of the volumes of data we produced in unique, interesting and valuable ways. Tom is also a qualified scuba diver and a keen mountain biker.
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