معرفی
Dr. Qing Lu is an Adjunct Professor at the BioMolecular Science Gateway Faculty of Michigan State University, affiliated with the Genetics & Genome Sciences Program. Their methodological research focuses on statistical genetics and machine learning innovations for high-dimensional data analysis, including tree-based methods, U-statistics, and deep learning frameworks.
Key research trends from publications include:
- Statistical genetics methodology (U-statistics, kernel neural networks, mixed-effects models)
- Machine learning applications in genomic data analysis (deep learning, transfer learning, functional networks)
- Environmental health investigations (bisphenols, metals, parabens)
- Public health methodologies (network scale-up, population estimation)
Dr. Lu's work bridges computational methods with biomedical applications, particularly in:
- Genetic interaction analysis
- Multi-omics data integration
- Exposure-genotype-phenotype relationships
- Development of open-source bioinformatics tools
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