Dr. Ricardo Vinuesa is an Associate Professor at KTH Royal Institute of Technology. He obtained his Bachelor in Mechanical Engineering at the Polytechnic University of Valencia (Spain), and he completed his MS and PhD in Mechanical and Aerospace Engineering at the Illinois Institute of Technology in Chicago (USA). His main area of research is turbulent flows in complex geometries, such as the flow around airplane wings or urban environments. His work is mainly based on high-performance simulations on large supercomputers, and on the use of machine-learning methods to analyze these flows. His research team has pioneered the use of deep neural networks to model and predict wall-bounded turbulence. He has led international efforts to combine experimental, numerical and AI-based methods to understand complex flows, which are responsible for around 25% of the energy used by industry worldwide. He is the recipient of several awards, including the 2020 Göran Gustafsson Foundation Award to Young Researchers. He has published over 60 articles in high-impact international journals, and he has an h-index of 24. He has recently led an international multidisciplinary work aimed at assessing the impact of AI on the 17 UN Sustainable Development Goals.