Emma Perracchione

Emma Perracchione is an Associate Professor in the Department of Mathematical Sciences "G.L. Lagrange" (DISMA) at Politecnico di Torino, where she conducts research at the intersection of approximation theory, machine learning, and scientific computing. Her work focuses on kernel-based methods, inverse problems, and applications in space weather and solar physics. She is actively involved in teaching and research leadership, including PhD supervision and national projects.

• PhD in Mathematics, University of Turin (2017, cum laude)
• M.Sc. and B.Sc. in Mathematics, University of Turin (2013, 2011)

Her research interests center on approximation theory and its applications, particularly greedy methods and two-layered kernel machines used for feature reduction in geomagnetic storm forecasting and optimal sampling for solar nanosatellites. These efforts contribute significantly to advancements in inverse problems and scientific computing. Her expertise spans machine learning, imaging, and data-driven modeling, with applications in climate action and space weather.

The most recent publications highlight a strong trend in developing and analyzing variably scaled kernels, feature selection via greedy algorithms, and machine learning applications in solar and astrophysical contexts. These works integrate numerical analysis with real-world data from solar wind and imaging instruments, demonstrating a blend of theoretical rigor and practical relevance.

Scientific awards received include:

• GNCS Young Researchers Funding (2020)
• GNCS Young Researchers Funding (2016)
• "Luciana Picco Botta" Study Award (2015)
• COST Short Term Scientific Mission (STSM) grant (2015)

Emma Perracchione supervises PhD student Matteo Trombini in the Mathematical Sciences program (40th cycle, 2025–ongoing) and leads the PRIN-funded project GOSSIP – Greedy Optimal Sampling for Solar Inverse Problems (2025–2027). She has taught various courses including Linear Algebra and Geometry, Numerical Methods and Scientific Computing, and advanced topics on Kernels for Machine Learning in aerospace, automotive, and computer science engineering programs. She is a member of the Space Weather Italian Community (SWICo) and the National Scientific Computing Group (GNCS-INdAM), and serves as Guest Editor for Dolomites Research Notes on Approximation. She has also participated in organizing major conferences such as DWCAA24 and GIMC-SIMAI Young.