Xianwei Zou

I am a Ph.D. student in Computer Engineering at the University of California, Irvine, advised by Prof. Aparna Chandramowlishwaran. I am part of HPC Forge.

I work on foundational generative models for spatiotemporal physical systems, focusing on diffusion and flow-based models for fluid dynamics. My broader interests lie in generative AI (GenAI), scientific machine learning (SciML), and AI for science (AI4Science), with the goal of building models that are robust, efficient, physically grounded, and scalable across regimes. I am motivated by problems that are both theoretically grounded and practically impactful.

I received my M.S. in Electrical and Computer Engineering from Carnegie Mellon University in 2024 and my B.E. in Telecommunication Engineering from Xidian University in 2021.

Outside the lab, I spend most of my time training. Like in ML, I’m drawn to sports with clear benchmarks, things you can measure, track, and improve. I do endurance sports (rowing 🚣‍♂️, cycling 🚴‍♂️, long hikes 🥾, trail running 🌋) alongside powerlifting 🏋️‍♂️, timing the long efforts and logging the weight on the bar. Training teaches me patience, consistency, and incremental progress. See fun facts for more.