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 completed a 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.