Jiyang Dong is currently a Professor at the National Institute for Data Science in Health and Medicine, Xiamen University, China. He received his Ph.D. in Condensed Matter Physics from Xiamen University in 2001 and completed postdoctoral research at Xidian University. His research focuses on machine learning methods for computational mass spectrometry, metabolomics, and spatial multi-omics. He has developed data-driven approaches for mass spectrometry data correction, molecular network modeling, and mass spectrometry imaging analysis, with an emphasis on characterizing spatial and metabolic heterogeneity. His current work aims to improve the reliability and interpretability of high-dimensional biomedical data and to facilitate biological interpretation in mass spectrometry-based studies.
Jiyang Dong is currently a Professor at the National Institute for Data Science in Health and Medicine, Xiamen University, China. He received his Ph.D. in Condensed Matter Physics from Xiamen University in 2001 and completed postdoctoral research at Xidian University. His research focuses on machine learning methods for computational mass spectrometry, metabolomics, and spatial multi-omics. He has developed data-driven approaches for mass spectrometry data correction, molecular network modeling, and mass spectrometry imaging analysis, with an emphasis on characterizing spatial and metabolic heterogeneity. His current work aims to improve the reliability and interpretability of high-dimensional biomedical data and to facilitate biological interpretation in mass spectrometry-based studies.