Kei Onn is trained as a neurobiologist from Lee Kong Chian School of Medicine, Singapore. Her integrated doctoral training in experimental and computational approaches sparked her interest in the meaningful translation of computational techniques to investigate the molecular pathophysiology of neurodegenerative diseases. Currently, she is working with Dr Malpetti to evaluate inflammatory fluid-based signatures to predict progression of frontotemporal lobar degeneration using machine learning and other data-driven approaches.
