Rate My Professor Junhao Wen

Wen’s research focuses on developing and applying artificial intelligence and machine learning techniques to analyze multi-organ and multi-omics biomedical data in the context of human aging and disease, with emphasis on clinical and computational neuroscience to advance precision medicine. He leads the Laboratory of AI and Biomedical Science (LABS) and the MULTI consortium, producing influential work on biological aging clocks, imaging genetics, and neuroimaging endophenotypes. Key publications include “MRI-based multi-organ clocks for healthy aging and disease assessment” (MULTI Consortium, Nature Medicine, 2025), “Multi-organ metabolome biological age implicates cardiometabolic conditions and mortality risk” (MULTI Consortium, Nature Communications, 2025), “Towards a multi-organ, multi-omics medical digital twin” (Nature Biomedical Engineering, 2025), “Refining the generation, interpretation, and application of multi-organ, multi-omics biological aging clocks” (Nature Aging, 2025), and “Multiorgan biological age shows that no organ system is an island” (Nature Aging, 2024). Wen has received the OHBM 2018 Travel Award, OHBM 2022 Merit Award, and AAIC 2025 Conference Fellowship. He contributes as a reviewer for journals such as Nature, Nature Medicine, Nature Aging, and Nature Biomedical Engineering, and as a grant reviewer for NIH, ERC, and others. Wen has delivered seminars including at Columbia University on multi-organ aging clocks.