Binxu Wang ☕️

About Me

Binxu Wang is a research fellow at Kempner Institute. Her research interests include visual neuroscience, generative models, and science of AI. She uses tools from AI to study neural system, and uses method of neuroscience to dissect AI system.

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Interests
  • Visual Neuroscience
  • Computational Neuroscience
  • Generative Model
  • Science of AI
Education
  • PhD in Neuroscience

    Washington University | Harvard Medical School

  • BSc Physics

    Peking University

My research: 🧠 → 🖼️

Generative Models x Visual Neuroscience

I’m a research fellow at Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University,

I work at the intersection of generative model and visual neuroscience – generating images from the brain, and dissecting how generative models actually work. I combine theory and experiments, with a toolkit spanning geometry, interpretability, and optimization.

I blog about deep learning, math and neuroscience.

Feel free to reach out for questions and collaborations 😃

Selected works
Recent Publications
(2026). Circuit Mechanisms for Spatial Relation Generation in Diffusion Transformers. Conference on Computer Vision and Pattern Recognition (CVPR) 2026.
(2026). Where the Score Lives: A Wavelet View of Diffusion. International Conference on Artificial Intelligence and Statistics (AISTATS) 2026.
(2026). Differentiable Faithfulness Alignment for Cross-Model Circuit Transfer. under review at COLM 2026.
Recent & Upcoming Talks