Haozhe Zhang

Hey, welcome to my page! 👋

I’m a modeling engineer at Tesla, working at the intersection of physics-based modeling and machine learning for next-generation battery cells — theoretical and computational modeling, reinforcement learning for automation, and data-driven optimization at scale-up.

My background is heavy on physics. I’ve spent years working out closed-form theoretical solutions across mechanics and multi-physics fields — soft-hard material integration, stretchable metasurfaces, mechanical Janus structures, nanoconfined fluid mechanics. I pair the theory with hands-on engineering, so most of what I’ve built has gone end-to-end from the math to a working system.

Outside the day job, what pulls me from one thing to the next is curiosity and a long-running urge to build new things. I keep gravitating toward LLMs, agentic systems, RL training infrastructure, voice agents for narrow domains, and AI for hardware — all self-taught.

Before Tesla, I earned my PhD in mechanical engineering from the University of Virginia and a BS from the University of Science and Technology of China. My doctoral work centered on theoretical and computational modeling of multi-physics fields.

In my spare time, I enjoy traveling and playing Leagues.