Biological Sciences, Health Sciences, Machine Learning, Statistics
Applications in Health Sciences
Applications in Life Sciences
Dr. Yeung is Associate Professor in the Institute of Technology at University of Washington Tacoma and adjunct Associate Professor at the Department of Microbiology at University of Washington Seattle. Her research focuses on the development of data mining tools and their applications to computational biology. In particular, she is interested in the development of machine learning methods to effectively integrate heterogeneous high-throughput data sources in the construction of regulatory networks and the identification of biologically meaningful biomarkers. Additionally, she is interested in the development of software tools to enhance reproducible bioinformatics research, including R, Bioconductor, Docker, and standalone tools.
She received her Ph.D. in Computer Science from University of Washington and was awarded the NIH K25 Career Development Award in 2004. She also has extensive experience serving as a PI and project leader in numerous NIH awards.