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The PROXIMA project, led by Lara Cavinato, has been funded by Fondazione Cariplo!

The PROXIMA project –PRecision Oncology through eXploitation of Imaging-guided Medical AI-,  led by Lara Cavinato,  has been funded by Fondazione Cariplo (“Young Researchers” Call for Applications – 2025).   Overview of the PROXIMA project: Cancer is highly heterogeneous, making diagnosis and treatment often difficult, as current methods separately analyze micro-scale […]

The first 3 weeks of the MOOC “𝐂𝐨𝐦𝐩𝐮𝐭𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 & 𝐂𝐨𝐦𝐩𝐮𝐭𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐏𝐲𝐭𝐡𝐨𝐧 𝐚𝐧𝐝 𝐌𝐀𝐓𝐋𝐀𝐁” are online!

The first 3 weeks of the MOOC “𝐂𝐨𝐦𝐩𝐮𝐭𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 & 𝐂𝐨𝐦𝐩𝐮𝐭𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐏𝐲𝐭𝐡𝐨𝐧 𝐚𝐧𝐝 𝐌𝐀𝐓𝐋𝐀𝐁” are online! Discover them on POK – Polimi Open Knowledge! 👉 https://www.pok.polimi.it/course/view.php?id=263#tab2 🔸𝐖𝐞𝐞𝐤 𝟏 – 𝐅𝐢𝐥𝐥 𝐮𝐩 𝐭𝐡𝐞 𝐭𝐚𝐧𝐤 Differential equations and forward Euler method to model fluid level variation. Coding content: variables, loops, […]

SIAM Chapters meeting for Young Researchers in Applied Mathematics and Scientific Computing @ PoliMi

Exciting Opportunity for researchers in Applied Mathematics! Join us for the SIAM Chapters meeting for Young Researchers in Applied Mathematics and Scientific Computing, taking place on 🗓️ January 29-30, 2026, at 📍Politecnico di Milano (MOX Laboratory, Dipartimento di Matematica). This event offers an excellent opportunity to foster scientific interaction among […]

🚀 Coming Soon!
 Our new MOOC “Computational Science & Computational Learning with Python and MATLAB” is on the way.


Get ready for 5 weeks of hands-on where you’ll explore applications in fluid flow, environmental processes, control systems, image processing, and machine learning. Through real problem–inspired projects, you’ll build mathematical models, apply numerical methods, and interpret computational results. 🎓 A practical journey into scientific computing and computational learning. 👉 Check […]

A study by MOX (Department of Mathematics), Mechanical Engineering @ PoliMI, and University of Washington published in Nature Communications

The paper “Reduced order modeling with shallow recurrent decoder networks”, signed by Matteo Tomasetto, Jan P. Williams, Francesco Braghin, Andrea Manzoni, and J. Nathan Kutz, has been published in the prestigious journal Nature Communications. The work proposes a new deep learning architecture (SHRED-ROM) capable of reconstructing high-dimensional state dynamics, such […]

Young Researchers Prize 2025 awarded to Francesco Regazzoni

Francesco Regazzoni is the recipient of the Italian “Young Researchers Prize 2025” in the category “Artificial Intelligence”, conferred by “Gruppo 2003 per la Ricerca Scientifica” — the association that brings together Italy’s most highly cited scientists. The award recognizes an early-career researcher (under 36) for the innovation, originality, and impact […]

Driving the Future of Mobility: Data, Sustainability, and Innovation

Mobility is a critical factor for environmental sustainability, social equity, and safety. At the DADS PhD Program at Politecnico di Milano, students explore vehicle control, data-driven models, and algorithms to tackle complex mobility challenges, from optimizing transport systems to reducing environmental impact. In this video, Prof. Simone Vantini and Prof. Mara […]

A new MOOC is coming

Here’s a little behind-the-scenes look at a new MOOC on the way! Among blackboards filled with formulas and lines of code, the MOX – Laboratory for Modeling and Scientific Computing of the Department of Mathematics at Politecnico di Milano, in collaboration with METID – Politecnico di Milano and with the support of […]