About me

Welcome! I’m Ivan Zanardi, a Ph.D. graduate in Aerospace Engineering at the University of Illinois Urbana-Champaign, working at the intersection of applied mathematics, machine learning, and plasma physics. I earned my Bachelor’s and Master’s degrees in Aerospace Engineering from Politecnico di Milano in 2017 and 2020, respectively.

My research work focuses on developing fast, physics-informed surrogate models for nonequilibrium plasma flows, with potential applications in hypersonic reentry, fusion energy, and astrophysical flows. These problems involve stiff, high-dimensional dynamics that make direct simulation computationally intractable. I address this challenge by combining physics-based modeling, reduced-order techniques, and scalable surrogate architectures, bridging algorithmic innovation and real-world engineering to enable reliable, cost-effective simulations.

I am currently a Machine Learning Engineer at PhysicsX, where I design, develop, and deploy AI models to address challenging problems in physics and industry.

🎯 Research Interests

• Scientific machine learning
• Surrogate and reduced-order modeling
• Scientific computing
• Nonequilibrium plasma physics

📫 Let’s Connect

If you’re working on something exciting, I’d love to connect!

📬 Email: ivan.zanardi.us@gmail.com