Mathematics in Computer Science and Actuarial Science
University of Waterloo, Ontario, Canada
My research focuses on the development of machine learning tools and their application to computational biology. My passion is method development for integration of multiple sources of big data. In particular, I am interested in the development of methods to effectively integrate heterogeneous high-throughput data sources in the construction of gene regulatory networks and the identification of biologically meaningful biomarkers.
I am currently serving as an external collaborator on a NIH-funded BD2K-LINCS Perturbation Data Coordination and Integration Center (U54HL127624). The NIH LINCS project is generating millions of experiments, measuring the cell's response to drug and genetic perturbations. Our goal is to develop computational methods and tools to build predictive models of complex diseases and drug responses.