Ka Yee Yeung, Ph.D.
My research focuses on the development of machine learning tools, their application to computational biology and the development of containerized tools to enhance the reproducibility of research. My research focuses on the development of methods and containerized cloud-enabled software tools to facilitate the reproducible analyses of big biomedical data. I also develop machine learning methods that blend both computer science and statistics for applications in bioinformatics.
I am the PI of a NIH-funded basic research grant titled Intelligent deployment of containerized bioinformatics workflows on the cloud . Our overarching goal is to deliver the latest technological advances in containers and cloud computing to a typical biomedical researcher with limited resources who works with big data. Specifically, we will develop a user-friendly drag-and-drop interface to enable biomedical researchers to build and edit containerized workflows.
Recipient of the 2019 Distinguished Research Award at University of Washington Tacoma.