Stefania Fresca is Tenure-track Assistant Professor in Physics-based Machine Learning at the Department of Mechanical Engineering, University of Washington, Seattle, where she leads the FRESCA Lab (Scientific Machine Learning for Computational Engineering). Her research is supported by the National Science Foundation, UK Research and Innovation, and industry partners. She is also Visiting Assistant Professor at the Department of Computer Science and Technology, University of Cambridge. Previously, she was Junior Assistant Professor in Numerical Analysis at MOX (Laboratory for Modeling and Scientific Computing) - Department of Mathematics, Politecnico di Milano, Italy, within the Future Artificial Intelligence Research (FAIR) Project.
After carrying out her PhD in the framework of the ERC Advanced Grant Project iHEART (PI: Prof. Alfio Quarteroni) devoted to cardiac modeling, she spent two years as Post-Doctoral Research Fellow at MOX.
Her research interests and expertise include scientific machine learning, reduced order modeling, digital twins, and numerical approximation of PDEs, with several applications to engineering problems ranging from cardiac modeling (cardiac electrophysiology) to computational mechanics (fluid dynamics, flow control). Her current focus is on structure preserving neural networks, multi-scale deep learning, and deep reinforcement learning.