Marco Laudato

Marco Laudato is a Researcher at KTH Royal Institute of Technology, serving as Principal Investigator leading independent research initiatives and affiliated with FLOW. He holds a PhD in Mathematics and Models from the University of L'Aquila (2021) and completed postdoctoral studies at KTH's Department of Engineering Mechanics (2021–2024). His work aligns with UN Sustainable Development Goal #3, focusing on thrombotic event prediction and respiratory flow optimization through multi-scale modeling, neural networks, and fluid-structure interaction.

Research interests include Fluid Dynamics, Scientific Machine Learning, Aeroacoustics, and Biofluid Dynamics. Notable achievements include the 2024 Göran Gustafsson Young Scientist Award and a 2022 Swedish Research Council grant. Dr. Laudato teaches courses such as Data-driven Methods in Engineering Mechanics and Fluid Mechanics, emphasizing both theoretical and applied mechanics education.

• Education: PhD in Mathematics and Models (University of L'Aquila, 2021)
• Affiliations: FLOW Research Group at KTH
• Key Projects: Neural operator modeling for platelet mechanics, collapsible tube dynamics, and metamaterials research

His publications span experimental and computational studies in metamaterials, aeroacoustics, and biomedical fluid dynamics, with a strong emphasis on machine learning integration.