Stefania Fresca
Tenure-Track Assistant Professor at University of Cambridge
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolStefania Fresca is a tenure-track assistant professor and applied machine learning researcher with eight years of experience developing data-driven models, control strategies, and optimization methods for engineering systems. She holds a PhD in Mathematical Models and Methods in Engineering from Politecnico di Milano and has progressed from postdoctoral work in reduced-order modeling and scientific computing to faculty roles at Politecnico, Cambridge, and the University of Washington. Her research blends deep learning, numerical analysis, and model reduction to make complex physical simulations faster and more tractable for control and optimization tasks. Stefania’s background includes practical data engineering experience from industry (risk advisory and datamart design), giving her a rare combination of theoretical depth and hands-on data workflow skills. Based in Seattle, she builds bridges between rigorous mathematics and deployable ML solutions for engineering applications.
8 years of coding experience
5 years of employment as a software developer
Ph.D., Mathematical Models and Methods in Engineering, Ph.D., Mathematical Models and Methods in Engineering at Politecnico di MilanoHigh School Diploma, High School Diploma at Liceo Scientifico Paolo GiovioExchange Program, Mathématiques de la Modélisation, Exchange Program, Mathématiques de la Modélisation at Sorbonne University
Italian, French, English, SpanishGithub contributions (5)
stefaniafresca/DL-ROM-Meth
Jun 2020 - Mar 2022
Contributions:10 commits, 6 pushes in 1 year 8 months
stefaniafresca/stefaniafresca-academic
Aug 2023 - Feb 2025
Contributions:308 pushes, 1 branch in 1 year 6 months
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