Zongze Li

ABOUT ME:

Hello! Thank you for visiting my website.

I am a Ph.D. mechanical engineer specializing in simulation, computational fluid dynamics (CFD), and multiphysics modeling. My work focuses on developing high-fidelity, physics-based simulation frameworks and scalable C++/MPI solvers in HPC environments to analyze complex phenomena, including fluid flow, heat transfer, thermal dynamics, and fluid–structure interaction (FSI).

With a strong foundation in computational and physics-based modeling, as well as algorithm development, I build efficient and robust end-to-end simulation tools. I am particularly interested in leveraging simulation not only to support engineering design—such as evaluating new products, optimizing performance, and exploring design trade-offs—but also to bridge physics-based modeling with data-driven approaches, enabling AI systems to better capture and understand real-world physical behaviors.

My experience includes working with tools such as ANSYS, COMSOL, Palabos, MATLAB, ParaView, and Python, with a focus on translating advanced numerical methods into practical, decision-oriented engineering solutions across multidisciplinary applications.

Outside of research, I am passionate about technology and lifelong learning. I enjoy building and experimenting with real-world systems, from personal servers and cloud storage solutions (e.g., Samba and NAS) to exploring AI tools that enhance productivity and problem-solving. This hands-on mindset has helped me expand beyond traditional engineering boundaries into software and system-level development.

I also value collaboration and knowledge sharing. I have contributed to the community as a workshop lecturer and peer reviewer in CFD-related fields, and I am always eager to learn, build, and contribute to solving meaningful engineering and technological challenges.