Date: 28th April 2026 (Tuesday)
Time: 17:00 – 18:00
Venue: N317
Theme: MSD Research Seminar Series- “Biological Age Acceleration in Complex Diseases toward Precision Identification”
Language: Mandarin
Speaker’s Biography
Junfang Chen, Ph.D., is a Principal Investigator and Ph.D. Supervisor at the
Greater Bay Area Institute of Precision Medicine (Guangzhou), where he leads anindependent research group. His research focuses on the molecular multi-omics mechanisms of biological aging and complex diseases, with particular emphasison the precise quantification of biological age and its applications in health assessment, disease risk prediction, and targeted intervention. He has been selected as a Guangdong Provincial Overseas High-level Talent and a High-level Leading Talent of Nansha District, Guangzhou. He has served as Principal Investigator for projects funded by the National Natural Science Foundation of China, the Natural Science Foundation of Guangdong Province, and the Open Fund of the Shanghai Key Laboratory of Severe Mental Disorders, and has participated as a core member in municipal innovation team programs and international collaborative projects supported by the German Federal Ministry of Education and Research (BMBF).
Dr. Chen has published over 30 SCI-indexed papers, including high-impact
journals such as JAMA Psychiatry and eBioMedicine. His group integrates
systems computational biology, multi-omics analysis, and interpretable artificial intelligence to investigate the shared mechanisms of aging and complex diseases,and to develop translatable models for precision prediction and intervention.
Research interests
Biomedical Big Data Analysis and AI-driven Methodological Development; Cross-scale Mechanistic Analysis and Precision Prediction of Complex Diseases; Integrated Studies of Biological Aging and Disease with Translational Applications
Seminar Introduction
This seminar will introduce recent advances in biological aging research and multi-omics integration, with a focus on explainable AI-based aging clock and its applications in mental health and complex diseases. The talk will highlight mechanistic insights, predictive modeling, and translational potential in precision medicine.
Students who are interested should register on WeMust-Event.
All research staff and students are welcome to attend this seminar.
For more inquiries, please contact (853) 8897 3411 or email msd@must.edu.mo
