Summary
Ka Yeung is a Virginia and Prentice Bloedel Professor and computational biologist with a Ph.D. in Computer Science who specializes in machine learning, reproducible big-data workflows, and cloud/container-driven bioinformatics. Over two decades as a PI on federal grants, she has built predictive models, graphical and multivariate feature-selection methods, and software that translates complex high-throughput biology into reproducible analyses. She co-founded BioDepot LLC to commercialize containerized pipelines that cut cost and improve performance for biomedical data processing. An academic leader and educator, she has served as Associate Dean and Chair of Faculty Assembly while teaching both undergraduate and graduate computer science. Her technical fluency spans R, C/C++, Java, Perl, Matlab and Docker, and she bridges biology, statistics and CS to deliver tools that enable collaborative, interdisciplinary research. Less obvious: her work has produced validated gene-signature predictors tied to real clinical outcomes, demonstrating both methodological rigor and translational impact.
8 years of coding experience
19 years of employment as a software developer
Ph.D. Computer Science, Ph.D. Computer Science at University of Washington
high school
B.Math M.Math Computer Science Actuarial Science, B.Math M.Math Computer Science Actuarial Science at University of Waterloo
English