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.

The website is built with Hugo and Quarto. The theme is adapted from the works by Daniel Roelfs and Matthew Butterick.