Dr. Fong Sheng is a budding geriatrician clinician-scientist with expertise in the fields of geriatric medicine and geroscience. He is interested in using data science and machine learning techniques to develop clinical classifiers of physiological resilience and reserve (e.g. “biological ageing clocks” using routine clinical measures/parameters and “-omics” data). He aims to apply these clocks to clinical pathology (e.g. cognitive decline) to predict health outcomes and stratify risk in geriatric patients. In this context, one of his current projects involves developing molecular biomarkers, with an aspect focusing on chronic inflammation, for dementia staging in a Singapore cohort of geriatric patients.