Professor Yunsong Mu is an accomplished environmental toxicologist and academic leader serving as Vice Dean at the School of Chemistry and Life Resources, Renmin University of China. His pioneering research integrates computational toxicology and risk assessment to address the health impacts of emerging environmental pollutants. With over 50 Scopus-indexed publications, two authored books, and 20 patents, he has made significant contributions to environmental science innovation and policy. His groundbreaking GNN-based immunotoxicity prediction framework offers transformative tools for pollutant risk evaluation. Recognized by national and international bodies, Professor Mu exemplifies excellence in environmental research and scientific leadership.
Featured Publications
Mu, Y., et al. (2025). Machine learning-driven 3D-QSAR models facilitated rapid on-site broad-spectrum immunoassay of (fluoro)quinolones using evanescent wave fiber-embedded optofluidic biochip. Biosensors and Bioelectronics.
Mu, Y., et al. (2025). Advances and perspectives on the life-cycle impact assessment of personal protective equipment in the post-COVID-19 pandemic.
Mu, Y., et al. (2025). Application of machine learning in nanotoxicology: A critical review and perspective.
Mu, Y., et al. (2024). Predicting the water ecological criteria of copper using machine learning and multiple linear regression approaches. Zhongguo Huanjing Kexue (China Environmental Science).