Dr. Yan's work is focused on integrating data sources to extract knowledge that can lead to better understanding of complex diseases, neurological conditions, and dementias, such as Alzheimer’s disease. Her research has been on exploring brain imaging genetics associations by developing efficient and scalable computational and bioinformatics approaches. Specifically, Yan is interested in the combination of machine learning and network science such that rich biological knowledge can be properly incorporated to guide the learning procedure and help yield more interpretable results.
Research:
- Machine learning
- Network science
- Genotype-phenotype association
- Multi-omics integration
- Biomarker discovery
- Systems biology
