Tianyue Yang

Models for matter, motion, and scientific discovery.

I work at the intersection of AI, physics, and chemistry, building generative methods for scientific machine learning and physics-informed computation.

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Focus

Generative modelling for dynamical systems, computational physics, and quantum chemistry.

Current

Research Assistant at CCS@UCL and CSE@CUHK; MPhil student at the University of Cambridge.

Approach

Physics-aware design, scalable learning systems, and theory that explains model behaviour.

Selected publications

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All projects

AstroGen

Generative Modeling for Redshift-conditioned galaxy image synthesis.

  • MeanFlow
  • AI4Astro
  • Generative Modelling
Open project

Fleiadex

Latent Diffusion models in JAX for Weather Forecasting

  • Diffusion
  • AI4CFD
  • Generative Modelling
Open project

More experiments

Browse research code, model implementations, and scientific side projects.

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Outside the lab

Sichuan cuisine, theoretical chemistry, and modern political philosophy—especially the work of Giorgio Agamben.

Per aspera ad astra