E Ching (Noon) Kho

In 2023, Noon completed a Bachelor of Computing (Honours) specializing in computing, mathematics, and analytics from Queen’s University. Under the supervision of Randy E. Ellis, he is currently working on a Master of Science in Computing with an Artificial Intelligence concentration. Noon is presently researching the application of information theory to the analysis of mass spectrometry data. His current work involves using Jensen-Shannon Divergence for a possible dimension reduction technique and potential in supervised machine learning analysis.