Deyong Xiao
Papers
1
Total Citations
11
H-Index
1
About
Deyong Xiao is a pioneering researcher at the intersection of artificial intelligence, robotics, and the biology of aging. His work centers on developing automated, AI-driven platforms to accelerate the discovery of therapeutic interventions for age-related diseases. Xiao’s most notable contribution is the creation of a fully autonomous robotics laboratory that identified TNIK inhibition as a potent senomorphic agent—a compound that suppresses the harmful effects of senescent cells without killing them. This breakthrough, published in 2024 and already garnering 11 citations, demonstrates a novel approach to targeting cellular senescence, a central hallmark of aging. By combining machine learning with high-throughput robotic experimentation, Xiao’s methodology enables the rapid prioritization of dual-purpose longevity targets that simultaneously address aging and specific diseases. His work represents a significant leap toward scalable, unbiased drug discovery in geroscience. With his innovative integration of AI and lab automation, Xiao is helping to redefine how researchers identify and validate interventions that could extend healthspan, making him a rising leader in the field of computational longevity research.
Research Focus
Key Achievements
Top Papers
- 1