Katie Ovens, Ph.D. Computer Science
Assistant Professor, University of Calgary
About me
I am an Assistant Professor in Fundamental Data Science at the University of Calgary in the Computer Science Department. My research is mainly focused in data science for the large-scale analysis of imaging data in the biological and medical domains for the creation of new insights into how to combat disease and illness. This includes developing machine learning strategies for combining "omics" data with medical imaging features, and utilizing computer vision techniques to more easily and effectively gain insight from biological and medical images.
Current Research
Biological and Medical Image Analysis
Sample Project Descriptions ( Coming soon )
Publications
Current publications available on Google Scholar
Blog posts of new publications ( Coming soon )
History
I previously worked as a postdoctoral fellow at McGill University Health Center and the Lady Davis Institute at the Jewish General Hospital in Montreal where my research was mainly on machine learning techniques to analyze head and neck cancers and lung cancer using CT imaging as well as transcriptomics. I completed both my M.Sc. and Ph.D. in Computer Science at the University of Saskatchewan. My doctoral research involved the bioinformatic analysis and visualization of transcriptomic datasets. I am also interested in biological network analysis, with my Ph.D. research paying particular attention to gene co-expression networks and their comparison across various species to make evolutionary inferences. During both my M.Sc. and Ph.D., I also collaborated on many multi-disciplinary projects, including the evaluation of computational methods to make inferences from biomedical datasets and medical imaging analysis using machine learning and deep learning approaches.