Hello, I'm
Ziao Wang
PhD Candidate at ENS-PSL.
I work on making physics deep learning, and making deep learning physical, with a focus on free-space optics.
The Intersection
Bridging Theory & Experiment
I am a researcher working at the convergence of statistical physics, deep learning, and optical computing. My work moves beyond theoretical abstraction to build actual physical systems that learn.
Specifically, I explore how physical principles can constrain and inform deep learning models, and conversely, how deep learning can drive complex free-space optical setups. From deriving statistical mechanics frameworks for neural networks to building custom control boards for optical experiments, I enjoy the full stack of discovery.
Selected Work
Featured Research
Latest Updates
From the Lab
Trajectory
Academic Journey
Laboratoire Kastler Brossel, ENS-PSL
PhD Candidate
Advised by Prof. Sylvain GIGAN. Building large-scale plug-and-play constrained-ML systems. Leading the "Large Transformer Training with Optics" project.
École Normale Supérieure (Ulm)
PhD Track 1st stage (ICFP)
Only 2 seats for the PhD Track. Specialized in Quantum Physics and Statistical Physics.
Peking University
B.S. Physics, B.S. Economics
Graduated with Diploma of Weiming (Top 5). Research on Bayesian evaluation.
Technical Expertise
Deep Learning & Code
Physics & Optics
Systems
"My approach is rooted in full-stack experimentation. I don't just write the theory; I build the custom control boards to steer the light, design the local storage infrastructure for the group, and write the high-performance code to train the models."
Let's Connect
I am always open to discussing physics-constrained deep learning, optical computing, or potential collaborations.