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Sohan Gunawardena is a PhD student and sessional academic at the School of Computer Science. His research focuses on Multi-View Data Learning with Deep Matrix Factorization, where he explores unsupervised and semi-supervised techniques to enhance clustering using text and omics data within machine learning algorithms. With a background as a software engineer for 7 years, he brings a wealth of practical experience to his academic pursuits.