FGS Thesis & Dissertation Prize Winner: Serene Wong
Dissertation Title: Exploiting Structure Information for Network Dissimilarity Characterization – Application to Disease Network Analysis and Treatment Prediction
Ms. Wong’s thesis focuses on cancer treatment by understanding interaction mechanisms in cancer using graphs. One of these approaches includes contrasting gene expression correlation networks between tumour and non-tumour cells.
Her research leveraged several computation techniques – Internet algorithms, big data analytics, and robotics – to solve problems associated with cancer diagnosis and treatment. 11 publications resulted from her dissertation, including notable conference prizes and Three Minute Thesis (3MT) accolades.