Contact & About
Contact
Office: 290 Jane Stanford Way, Stanford, CA 94305
About
Kejun Ying, postdoctoral researcher studying aging systems biology at Stanford University (Wyss-Coray lab) and Institute for Protein Design (Baker lab), NIH/NIA K00 fellow. Dr. Ying completed his Ph.D. in Biology (2025) and M.S. in Computational Science & Engineering (2024) from Harvard University in Dr. Vadim Gladyshev’s lab. His contributions include developing the first causal inference-based aging clock (Nature Aging cover, 2024), creating ClockBase (preprint) – a platform integrating over two million biological age data highlighted in Nature Biotechnology News – and developing MethylGPT, recognized in Science by Eric Topol as among the most promising biomedical large models. Dr. Ying is a core member of the Biomarkers of Aging Consortium, co-leads its Biolearn and Challenge project. His research has been published in various high-impact journals, including Nature Aging, Nature Review Genetics, Nature Medicine, and Nature Metabolism.