Areas of Specialty:

• AI and aging

Prof. Jing-Dong J. Han Ph.D. (H-index 62)

Peking University, China

Tenured Boya Professor at Peking University and Director of the Decoding Aging Research Center at the Peking University Chengdu Academy for Advanced Interdisciplinary Biotechnologies. Her research focuses on integrating large-scale experiments, computational analysis, and artificial intelligence to quantify aging, reverse-engineer aging regulatory networks, and design personalized intervention strategies. Her group has innovatively developed the first 3D facial aging clocks and thermal facial aging clocks, a machine learning based senescent cell identification program (SenCID), and a generative AI model that unifies multimodal data to model human aging, diseases, and personalized responses to interventions. She has received the NSFC Outstanding Young Scientist Award, the National Talent Program Outstanding Contribution Award, and the Shanghai Science Leadership Award. She has also been selected as a Max Planck Fellow and a MaxNetAging Fellow, and was recognized as a Women in Metabolism by Cell Metabolism.