Dr. Xiaolei Song is an Associate Professor in Center for Biomedical Imaging Imaging Research (CBIR), and in Dept. of Biomedical Engineering, Tsinghua University. She obtained her Ph.D. in 2008 from Dept. of Biomedical Engineering at Tsinghua University. From 2009 to 2019 she was

working in Dept. of Radiology and Institute of Cell Engineering at Johns Hopkins University, firstly as a postdoctoral fellow, and then as a Research Associate and a tenure-track Assistant Professor.

Song's research interest is novel MRI and multi-modality imaging techniques, with smart multi-”omics” analysis, for visualization of molecular and cellular events in pre-clinical and clinical applications. Her in vivo imaging techniques allow for sensing inflammation，glycosylation levels of certain proteins and other metabolic changes in various diseases including cancers and neurological disorders. Till now, she has published more than 50 peer-reviewed papers on high-ranked journals including Nature Communication, J. of Cerebral Blood Flow and Metabolism，Angewandte Chemie，Magnetic Resonance in Medicine, NMR in Biomedicine and Optics Express.

Her group invented series of CEST acquisition and analysis methods, by integrating the physical characteristics of signals and state-of-art AI-involved data-mining techniques. These methods addressed several challenges for in vivo CEST imaging, making ‘multi-color’ MRI available and reliable at 3T clinical scenarios. (codes for several methods are available at https://github.com/easyCEST )

Among these developments, three analysis techniques are recommended by European GliMR community, for processing brain tumor data.

(https://glimr.eu/post/a-guide-to-advanced-mri-processing/  )