Jordan’s main research interest is in machine learning applications in plant genomics and phenomics, with particular focus on the identification of stress-tolerant varieties.

Jordan completed his PhD (2020) in Computer Science at the University of Saskatchewan, specializing in computer vision for plant phenotyping. He completed M.Sc. (2015) and B.Sc. (Hons) (2013) degrees in Computer Science at the University of Regina.