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Stefania Fresca is an Assistant Professor in the Department of Mechanical Engineering at the University of Washington, Seattle. She began her journey in academia with a Ph.D. in Mathematical Models and Methods Engineering from the Politecnico di Milano, Italy, where she was part of the Laboratory for Modeling Scientific Computing (MOX) and engaged in an ERC Advanced Grant Project focused on cardiac modeling. Throughout her career, she has received accolades such as the Runner-up Ph.D. Award at the 7th International Conference on Computational & Mathematical Biomedical Engineering. After completing her Ph.D. in 2021, she pursued a post-doctoral research fellowship at MOX, where she contributed extensively to the field of scientific machine learning. Her research focuses on operator learning in small data contexts, reduced order modeling, numerical approximation of partial differential equations, and applications in engineering problems across various domains including cardiac electrophysiology and fluid dynamics. In addition to her research, she has teaching commitments and has mentored Ph.D. students in her department.
University of Washington • Seattle, WA
Teaching and conducting research in the Department of Mechanical Engineering.
MOX (Laboratory for Modeling Scientific Computing), Politecnico di Milano • Milan, Italy
Conducting research related to scientific machine learning and reduced order modeling.
MOX (Laboratory for Modeling Scientific Computing), Politecnico di Milano • Milan, Italy
Engaging in teaching and research activities in numerical analysis.
Standard Graduate School requirements for University of Washington apply to most departments listed unless specified otherwise by the program.