Sheng Fong is a geriatrician physician-scientist with an expertise in data science and machine learning. In his clinical practice, he cares for frail elderly patients suffering from age-related diseases, particularly preventable cardiometabolic conditions, highlighting the importance of early intervention. To address this need for early detection and primordial prevention, his research focuses on developing prognostication tools and personalized interventions. His most recent work involves developing clinically actionable biological aging clocks (e.g., LinAge2), which effectively predict mortality and offer actionable insights for guiding personalized interventions, thereby enhancing clinical decision-making and promoting healthy longevity strategies