Summary
Christopher Davison is an Electronic and Electrical Engineer and Research Assistant with 11 years’ experience applying communications, embedded systems, and software skills to data science and machine learning in AgriTech. Based at the University of Strathclyde, he builds reproducible satellite-data pipelines and containerised HPC workflows and is completing an EngD developing decision support systems to detect cattle illness early and characterise individual feeding behaviour. He blends hands-on engineering (C/C++, IoT) with analytics for precision livestock farming, enabling comparable research inputs and operational deployment. His background in power systems and teaching has honed his ability to explain complex topics and design robust experiments. A lifelong learner with interests in guitar, drawing and natural languages, he often explores adjacent fields to bring fresh perspectives to sensing and measurement problems.
11 years of coding experience
Master of Engineering (MEng), Electrical and Electronics Engineering, 2.1, Master of Engineering (MEng), Electrical and Electronics Engineering, 2.1 at University of Strathclyde
English, Korean