Professor Matthew McKay is a Laboratory Head at the Doherty Institute and Professorial Fellow in the University of Melbourne's Department of Microbiology and Immunology. Matthew is also a Professor in the Department of Electrical and Electronic Engineering (EEE) at the University of Melbourne and a Future Fellow (Level 3) of the Australian Research Council. He obtained his PhD from the University of Sydney in 2007 and developed his academic career (from Assistant Professor to Professor with tenure, including holding the endowed Hari Harilela Chair) at the Hong Kong University of Science and Technology. He has held visiting appointments at MIT and Stanford University. Matthew joined the Doherty Institute and the University of Melbourne in 2021.
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Key Achievements
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In 2021, Matthew was awarded the Australia-China Alumni Award for Research and Science by the Australia-China Alumni Association for his contributions to data science, vaccines and infectious diseases. He is a Fellow of the Institute for Electrical and Electronics Engineers (IEEE). Matthew has served as a Young Scientist of both the World Economic Forum and the World Laureates Forum. Significant achievements include leading the development of computational approaches and platforms that have influenced the design of commercial Covid-19 vaccines and products for immunological assays. Matthew, together with his collaborators and students, have received multiple paper awards in electrical engineering, including a Young Author Best Paper Award by the IEEE Signal Processing Society and the Stephen O. Rice Prize by the IEEE Communication Society. He received the Young Investigator Research Excellence Award at HKUST, and the Best Young Researcher Award (Asia Pacific Region) by the IEEE Communication Society. He has served as Area Editor for the IEEE Signal Processing Magazine, and on the editorial boards of the IEEE Transactions on Wireless Communications and Random Matrices: Theory and Applications.
Publications
Research Groups
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Matthew McKay Group
The McKay Group focuses on developing computational models, statistical and machine learning methods to address problems in infectious diseases and immunology. Current research is aimed at understanding virus evolution and immune escape and for identifying potent targets for next-generation vaccines.
Full University of Melbourne profile
