As a CASE PhD student at Earlham Institute, in collaboration with Sygenta, I am using machine learning and deep learning techniques to improve on the analysis framework for SeedGerm. Using convolutional neural networks, a novel solution will be developed that will allow a wide variety of seeds to be analysed by SeedGerm.
Prior to joining Earlham Institute, I was awarded a BSc (Hons) in Mathematics and Statistics from the University of York. It was during my undergraduate degree that I discovered an interest in machine learning and the combination of programming and statistics. I completed a summer internship at the Quadram Institute where I was optimising parameters that would be used in a linear regression model.