Dr Gianmarco Mengaldo is an assistant professor in the Department of Mechanical Engineering at National University of Singapore (Singapore), and Honorary Research Fellow at Imperial College London (United Kingdom). He received his BSc and MSc in Aerospace and Aeronautical Engineering from Politecnico di Milano (Italy), and his PhD in Aeronautical Engineering from Imperial College London (United Kingdom). After his PhD he undertook various roles both in industry and academia, including at the European Centre for Medium-Range Weather Forecasts, the California Institute of Technology, and Keefe, Bruyette and Woods (KBW). Dr Mengaldo’s adopts an interdisciplinary approach integrating mathematical engineering and computational science to study complex systems that arise in in engineering and applied science. His current research interests involve (i) the development of data-mining technologies for the systematic identification of coherent patterns in highly unstructured datasets, (ii) the development of high-fidelity simulations tools for multi-physics problems, and (iii) the use of machine learning and statistical tools to predict the behaviour of complex systems. Dr Mengaldo’s main application areas include aerospace and mechanical engineering, weather and climate, solid earth physics, healthcare, and finance.