Christopher P. Davey has a Master of Information Technology degree from the Queensland University of Technology (QUT, Australia) in 2007 and completed a Master of Science majoring in mathematics and statistics from The University of Southern Queensland (UniSQ, Australia) in 2020. Chris has over a decade of professional experience in software development and systems integration. He has recently submitted his thesis under the PhD program at UniSQ with the focus of his research being on “Deep Learning for Wireless Communications”. He has worked on “Artificial Intelligence for Decision-Making (AI4DM)” and “AI-enabled communicating systems” research project funded by the Australian Government’s Department of Defence. His current role of Research Engineer will undertake research on the Trainable Radios project co-funded by Australian Department of Defence. This project will take a paradigm shift from the widely used modular design approach to adopt a data-driven ‘model-free’ approach to design tactical communication waveforms using artificial intelligence (AI) techniques and machine learning (ML) algorithms.