معرفی
Xiaojian Shi is an Associate Research Scientist at Yale School of Medicine, Yale University. Their research focuses on metabolic pathways, mitochondrial biology, and genetic regulation, with a particular emphasis on cellular homeostasis and disease mechanisms. Key areas of investigation include the interplay between iron metabolism, mitochondrial function, and glutathione transport, as well as the role of genetic factors in conditions such as lysosomal storage diseases and cystic kidney disorders.
Shi's work integrates cutting-edge techniques like CRISPR screening, metabolomics, and mass spectrometry to uncover novel biomarkers and therapeutic targets. Recent studies have explored the effects of environmental contaminants on metabolic and microbiome profiles, as well as the development of machine learning tools for drug discovery and metabolite analysis.
They are affiliated with the Yale School of Medicine and collaborate with researchers such as Hongying Shen, Kariona Grabinska, and TuKiet Lam. Their research has been published in high-impact journals like Molecular Cell and Nature Communications, with a strong focus on translating basic science findings into clinical applications.
