NOTE:
*** All PhD student positions have been filled. Check this page again for updates.
*** At present, and until further notice, I am not recruiting international PhD students. Only exceptional international MSc students will be considered, and provided that students are able to secure funding on their own.
*** Unless in exceptional circumstances, I am no longer responding to informal requests for supervision. Prospective students are advised that I may not respond to all informal requests for supervision
Gradiate students' projects include applications of machine learning in bioinformatics. The main topics for theses and projects are in foundations of shallow and deep machine learning and applications in genomics, multi-omics, and transcriptomics, mostly in cancer biomarkers. Projects include, but not limited to, algorithms for multi-level thresholding, non-linear dimensionality reduction, graph representation learning, graph neural networks, and others. Applications include transcriptomics, integrative genome-wide analysis, multi-omics data analysis, single-cell RNA-Seq data analysis, discovery of cancer biomarkers. Problems in transcriptomics and multi-omics involve analysis of next generation sequencing data, including ChIP-seq and single-cell RNA-seq data for discovering biomarkers in different types of cancer, and the role of alternative splicing, protein interactions and pathways.
At present only students who are enrolled in COMP-4990 or in exceptional cases in COMP4960 are being considered.