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Rob De Rose is a Professor at the University of Melbourne. His research interests primarily focus on the application of machine learning in data analysis, particularly within the context of structural biology. He has extensive experience in using computational methods to solve biological problems and is recognized for his work in protein structure prediction and analysis. De Rose has been involved in several interdisciplinary projects that bridge molecular biology with data science. With numerous peer-reviewed publications, he contributes significantly to advancing our understanding of protein interactions and dynamics through computational simulations. Additionally, he has collaborated with various researchers across disciplines to enhance the application of machine learning methods in biological research.