William Huang

I'm William, a theoretical physicist turned AI/hardware researcher from Stanford. When I was a kid, my parents took me to The Physics Show, and since then I've always found beauty in the predictive power of physics, leading me to the International Physics Olympiad. In this time, I also thought plenty about worlds beyond our own: I researched ongoing mysteries in astrophysics, from fast radio bursts to intermediate-mass black holes. When I reached college, I decided I wanted to pursue a field where the cutting edge was more readily applicable to society's problems, so I studied AI and Computer Science at Stanford. This led me to exciting research at Harvard Medical School, The Movement Lab @ Stanford, Citadel Securities, and Waymo. Ultimately, I missed the elegance of my first love in physics; I'm now combining my two fields of expertise in chip architecture for AI.

Get in touch at willsh@stanford.edu.

• Constrained Diffusion with Trust SamplingA training-free loss-guided diffusion method for SoTA constraint following in image and human motion task (NeurIPS 2024).Read more →
• Autoregressive DiffusionAutoregressive Diffusion for Long-Term Controllable Motion Synthesis (CURIS 2023).Read more →
• Cross-domain Adaptation of Vision-Language Foundation Models for Medical ApplicationsInvestigation of effectiveness of general image-text pretraining and finetuning on medical vision-language transformers.Read more →