Marco Laudato

Marco Laudato is Researcher at KTH Royal Institute of Technology. As Principal Investigator, Dr. Laudato is independently leading a research project and actively working towards establishing a research group. Moreover, he is affiliated with FLOW at KTH.

Dr. Laudato holds a PhD degree in Mathematics and Models from University of L'Aquila (Italy, June 2021). He carried out his postdoctoral studies (2021-2024) at the Department of Engineering Mechanics at KTH Royal Institute of Technology.

News

• Dec 2024, new preprint: Laudato, M., Manzari, L., & Shukla, K. (2024). High-Fidelity Description of Platelet Deformation Using a Neural Operator. Available on ArXiv.

Research interests

Scientist specializing in Computational Fluid Dynamics, Scientific Machine Learning, Multi-scale Modelling, and Aeroacoustics. Dr. Laudato has significant experience in building partnerships and delivering high-quality research with prominent organizations in medical sciences, data-driven approaches, and fluid mechanics.

Dr. Laudato's research activities are answering the UN Sustainable Development Goal #3: Good health and well-being. His efforts aims at advancing fundamental knowledge to provide physics-based guidance for:

• Understanding and predicting thrombotic events through multiscale modeling framework based on neural networks.
• Enhancing understanding of the flow in respiratory system with the purpose of improving quality of life of patients with airway and respiratory disorders.

Research interests: Fluid Dynamics; Scientific Machine Learning; Multi-scale Modelling; Aeroacoustics; Fluid-Structure Interaction; Physics-Informed Neural Networks; Biofluid Dynamics; Cardiovascular Flow; Differential Geometry.

Honors and awards:

The Göran Gustafsson Young Scientist Award (UU/KTH), Sweden, 2024.

Best presentation award - Swedish Society of Biomechanics Conference, Lund, 2024.

Swedish Research Council (VR) Project Grant, VR 2022-03032, 2022.