Jeong Hoon Jang, PhD is a biostatistician deeply fascinated by the complexity and diversity of modern clinical data. The types of data he works with include functional, imaging, and shape data—often in mixed modalities—collected from randomized trials, longitudinal studies, observational cohorts, and large-scale electronic health records. Although the complexity of these datasets poses significant challenges for analysis and interpretation, it also offers rich opportunities to gain novel insights into the biological and pathological mechanisms underlying a wide range of diseases and clinical conditions. Dr. Jang's overarching research interests focus on the development and application of innovative statistical methods to: 1) extract innovative biomarkers from both complex data structures; 2) evaluate their diagnostic and prognostic utility with or without gold standard; and 3) integrate their information for more refined and accurate prediction of clinical outcomes.